default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDVasudeva Varma
Person information
- affiliation: International Institute of Information Technology Hyderabad, India
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j24]Nitin Ramrakhiyani
, Vasudeva Varma, Girish Keshav Palshikar, Sachin Pawar:
Gauging, enriching and applying geography knowledge in Pre-trained Language Models. Inf. Process. Manag. 62(1): 103892 (2025)- 2024
- [j23]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Multi-task learning neural framework for categorizing sexism. Comput. Speech Lang. 83: 101535 (2024) - [c240]Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma:
Can LLMs Generate Architectural Design Decisions? - An Exploratory Empirical Study. ICSA 2024: 79-89 - [c239]Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma:
Leveraging Generative AI for Architecture Knowledge Management. ICSA-C 2024: 163-166 - [c238]Gokul Thota, Vasudeva Varma:
Generating Entity Embeddings for Populating Wikipedia Knowledge Graph by Notability Detection. NLDB (2) 2024: 10-23 - [c237]Rahul Mehta, Bhavyajeet Singh, Vasudeva Varma, Manish Gupta:
CircuitVQA: A Visual Question Answering Dataset for Electrical Circuit Images. ECML/PKDD (1) 2024: 440-460 - [c236]Rahul Mehta, Andrew Hoblitzell, Jack O'Keefe, Hyeju Jang, Vasudeva Varma:
Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models. SemEval@NAACL 2024: 342-348 - [c235]Harshit Gupta, Manav Chaudhary, Shivansh Subramanian, Tathagata Raha, Vasudeva Varma:
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers. SemEval@NAACL 2024: 1758-1766 - [c234]Gokul Thota, Vasudeva Varma:
A Category-agnostic Graph Attention-based Approach for Determining Notability of Articles for Wikipedia. WWW (Companion Volume) 2024: 911-914 - [i50]Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma:
Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study. CoRR abs/2403.01709 (2024) - [i49]Rahul Mehta, Andrew Hoblitzell, Jack O'Keefe, Hyeju Jang, Vasudeva Varma:
MetaCheckGPT - A Multi-task Hallucination Detector Using LLM Uncertainty and Meta-models. CoRR abs/2404.06948 (2024) - [i48]Manav Chaudhary, Harshit Gupta, Vasudeva Varma:
BrainStorm @ iREL at SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets. CoRR abs/2405.11192 (2024) - [i47]Harshit Gupta, Manav Chaudhary, Tathagata Raha, Shivansh Subramanian, Vasudeva Varma:
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers. CoRR abs/2405.16129 (2024) - 2023
- [c233]Bhavyajeet Singh, Aditya Hari, Rahul Mehta, Tushar Abhishek, Manish Gupta, Vasudeva Varma:
XFLT: Exploring Techniques for Generating Cross Lingual Factually Grounded Long Text. ECAI 2023: 2162-2169 - [c232]Nitin Ramrakhiyani, Vasudeva Varma, Girish Keshav Palshikar:
Extracting Orientation Relations between Geo-Political Entities from their Wikipedia Text. GeoExT@ECIR 2023: 44-50 - [c231]Praveen Garimella, Vasudeva Varma:
Learning through Wikipedia and Generative AI Technologies. EDM 2023 - [c230]Nitin Ramrakhiyani, Vasudeva Varma, Girish K. Palshikar, Sachin Pawar:
Zero-shot Probing of Pretrained Language Models for Geography Knowledge. Eval4NLP 2023: 49-61 - [c229]Savita Bhat, Vasudeva Varma:
Large Language Models As Annotators: A Preliminary Evaluation For Annotating Low-Resource Language Content. Eval4NLP 2023: 100-107 - [c228]Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. INLG 2023: 15-27 - [c227]Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta, Vasudeva Varma:
Neural Models for Factual Inconsistency Classification with Explanations. ECML/PKDD (3) 2023: 410-427 - [c226]Savita Bhat, Vasudeva Varma, Niranjan Pedanekar:
Generative Models For Indic Languages: Evaluating Content Generation Capabilities. RANLP 2023: 187-195 - [c225]Rahul Mehta, Vasudeva Varma:
LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER Using XLM-RoBERTa. SemEval@ACL 2023: 453-456 - [c224]Nirmal Manoj, Sagar Joshi, Ankita Maity, Vasudeva Varma:
iREL at SemEval-2023 Task 10: Multi-level Training for Explainable Detection of Online Sexism. SemEval@ACL 2023: 1691-1696 - [c223]Anubhav Sharma, Sagar Joshi, Tushar Abhishek, Radhika Mamidi, Vasudeva Varma:
Billy-Batson at SemEval-2023 Task 5: An Information Condensation based System for Clickbait Spoiling. SemEval@ACL 2023: 1878-1889 - [c222]Vijayasaradhi Indurthi, Vasudeva Varma:
Francis Wilde at SemEval-2023 Task 5: Clickbait Spoiler Type Identification with Transformers. SemEval@ACL 2023: 1890-1893 - [c221]Bhavyajeet Singh, Ankita Maity, Pavan Kandru, Aditya Hari, Vasudeva Varma:
iREL at SemEval-2023 Task 9: Improving understanding of multilingual Tweets using Translation-Based Augmentation and Domain Adapted Pre-Trained Models. SemEval@ACL 2023: 2052-2057 - [c220]Pavan Kandru, Bhavyajeet Singh, Ankita Maity, Kancharla Aditya Hari, Vasudeva Varma:
Tenzin-Gyatso at SemEval-2023 Task 4: Identifying Human Values behind Arguments Using DeBERTa. SemEval@ACL 2023: 2062-2066 - [c219]Ankita Maity, Pavan Kandru, Bhavyajeet Singh, Kancharla Aditya Hari, Vasudeva Varma:
IREL at SemEval-2023 Task 11: User Conditioned Modelling for Toxicity Detection in Subjective Tasks. SemEval@ACL 2023: 2133-2136 - [c218]Dhaval Taunk, Lakshya Khanna, Siri Venkata Pavan Kumar Kandru, Vasudeva Varma, Charu Sharma, Makarand Tapaswi:
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering. WWW (Companion Volume) 2023: 1138-1144 - [c217]Dhaval Taunk, Shivprasad Sagare, Anupam Patil, Shivansh Subramanian, Manish Gupta, Vasudeva Varma:
XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages. WWW 2023: 1703-1713 - [i46]Sayar Ghosh Roy, Anshul Padhi, Risubh Jain, Manish Gupta, Vasudeva Varma:
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents. CoRR abs/2301.00152 (2023) - [i45]Sagar Joshi, Sumanth Balaji, Aparna Garimella, Vasudeva Varma:
Graph-based Keyword Planning for Legal Clause Generation from Topics. CoRR abs/2301.06901 (2023) - [i44]Sagar Joshi, Sumanth Balaji, Jerrin Thomas, Aparna Garimella, Vasudeva Varma:
Investigating Strategies for Clause Recommendation. CoRR abs/2301.10716 (2023) - [i43]Bhavyajeet Singh, Pavan Kandru, Anubhav Sharma, Vasudeva Varma:
Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages. CoRR abs/2302.04790 (2023) - [i42]Dhaval Taunk, Shivprasad Sagare, Anupam Patil, Shivansh Subramanian, Manish Gupta, Vasudeva Varma:
XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages. CoRR abs/2303.12308 (2023) - [i41]Dhaval Taunk, Lakshya Khanna, Pavan Kandru, Vasudeva Varma, Charu Sharma, Makarand Tapaswi:
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering. CoRR abs/2303.12320 (2023) - [i40]Dhaval Taunk, Vasudeva Varma:
Summarizing Indian Languages using Multilingual Transformers based Models. CoRR abs/2303.16657 (2023) - [i39]Rahul Mehta, Vasudeva Varma:
LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER using XLM-RoBERTa. CoRR abs/2305.03300 (2023) - [i38]Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta, Vasudeva Varma:
Neural models for Factual Inconsistency Classification with Explanations. CoRR abs/2306.08872 (2023) - [i37]Ankita Maity, Anubhav Sharma, Rudra Dhar, Tushar Abhishek, Manish Gupta, Vasudeva Varma:
Multilingual Bias Detection and Mitigation for Indian Languages. CoRR abs/2312.15181 (2023) - 2022
- [c216]Sagar Joshi, Sumanth Balaji, Aparna Garimella, Vasudeva Varma:
Graph-based Keyword Planning for Legal Clause Generation from Topics. NLLP@EMNLP 2022: 276-286 - [c215]Dhaval Taunk, Sagar Joshi, Vasudeva Varma:
Profiling irony and stereotype spreaders on Twitter based on term frequency in tweets. CLEF (Working Notes) 2022: 2682-2686 - [c214]Sagar Joshi, Sumanth Balaji, Aditya Hari, Abhijeeth Singam, Vasudeva Varma:
Efficacy of Pretrained Architectures for Code Comment Usefulness Prediction. FIRE (Working Notes) 2022: 29-33 - [c213]Sumanth Balaji, Sagar Joshi, Aditya Hari, Abhijeeth Singam, Vasudeva Varma:
COVID-19 vaccine stance classification from tweets. FIRE (Working Notes) 2022: 320-324 - [c212]Dhaval Taunk, Vasudeva Varma:
Summarizing Indian Languages using Multilingual Transformers based Models. FIRE (Working Notes) 2022: 435-442 - [c211]Sayar Ghosh Roy, Anshul Padhi, Risubh Jain, Manish Gupta, Vasudeva Varma:
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents. HT 2022: 11-20 - [c210]Bhavyajeet Singh, Siri Venkata Pavan Kumar Kandru, Anubhav Sharma, Vasudeva Varma:
Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages. ICON 2022: 11-18 - [c209]Sagar Joshi, Sumanth Balaji, Jerrin Thomas, Aparna Garimella, Vasudeva Varma:
Investigating Strategies for Clause Recommendation. JURIX 2022: 73-82 - [c208]Sravani Boinepelli, Tathagata Raha, Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Leveraging Mental Health Forums for User-level Depression Detection on Social Media. LREC 2022: 5418-5427 - [c207]Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma:
Fact Aware Multi-task Learning for Text Coherence Modeling. PAKDD (2) 2022: 340-353 - [c206]Tathagata Raha, Sagar Joshi, Vasudeva Varma:
IIITH at SemEval-2022 Task 5: A comparative study of deep learning models for identifying misogynous memes. SemEval@NAACL 2022: 673-678 - [c205]Sagar Joshi, Dhaval Taunk, Vasudeva Varma:
IIIT-MLNS at SemEval-2022 Task 8: Siamese Architecture for Modeling Multilingual News Similarity. SemEval@NAACL 2022: 1145-1150 - [c204]Varsha Reddy, Harika Abburi, Niyati Chhaya, Tamara Mitrovska, Vasudeva Varma:
'You Are Big, S/he Is Small' Detecting Body Shaming in Online User Content. SocInfo 2022: 389-397 - [c203]Himanshu Maheshwari, Vasudeva Varma:
An Ensemble Approach to Detect Emotions at an Essay Level. WASSA@ACL 2022: 276-279 - [c202]Akshat Gahoi, Jayant Duneja, Anshul Padhi, Shivam Mangale, Saransh Rajput, Tanvi Kamble, Dipti Misra Sharma, Vasudeva Varma:
Gui at MixMT 2022 : English-Hinglish : An MT Approach for Translation of Code Mixed Data. WMT 2022: 1126-1130 - [c201]Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages. WWW (Companion Volume) 2022: 171-175 - [i36]Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages. CoRR abs/2202.00291 (2022) - [i35]Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. CoRR abs/2209.11252 (2022) - [i34]Akshat Gahoi, Jayant Duneja, Anshul Padhi, Shivam Mangale, Saransh Rajput, Tanvi Kamble, Dipti Misra Sharma, Vasudeva Varma:
Gui at MixMT 2022 : English-Hinglish: An MT approach for translation of code mixed data. CoRR abs/2210.12215 (2022) - 2021
- [j22]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Fine-Grained Multi-label Sexism Classification Using a Semi-Supervised Multi-level Neural Approach. Data Sci. Eng. 6(4): 359-379 (2021) - [j21]Pulkit Parikh, Harika Abburi, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Categorizing Sexism and Misogyny through Neural Approaches. ACM Trans. Web 15(4): 17:1-17:31 (2021) - [c200]Tathagata Raha, Sayar Ghosh Roy, Ujwal Narayan, Zubair Abid, Vasudeva Varma:
Task Adaptive Pretraining of Transformers for Hostility Detection. CONSTRAINT@AAAI 2021: 236-243 - [c199]Tanmay Sachan, Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma:
SCATE: shared cross attention transformer encoders for multimodal fake news detection. ASONAM 2021: 399-406 - [c198]Yash Agrawal, Vivek Anand, Manish Gupta, S. Arunachalam, Vasudeva Varma:
Goal-Directed Extractive Summarization of Financial Reports. CIKM 2021: 2817-2821 - [c197]Swayatta Daw, Shivprasad Sagare, Tushar Abhishek, Vikram Pudi, Vasudeva Varma:
Cross-lingual Alignment of Knowledge Graph Triples with Sentences. ICON 2021: 629-637 - [c196]Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma:
T3N: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter. PAKDD (1) 2021: 686-700 - [c195]Ramkishore Saravanan, Nikhil Pinnaparaju, Vasudeva Varma:
Addressing Issues in Training Neural Extractive Summarisation Models. PReMI 2021: 280-288 - [c194]Tathagata Raha, Ishan Sanjeev Upadhyay, Radhika Mamidi, Vasudeva Varma:
IIITH at SemEval-2021 Task 7: Leveraging transformer-based humourous and offensive text detection architectures using lexical and hurtlex features and task adaptive pretraining. SemEval@ACL/IJCNLP 2021: 1221-1225 - [c193]Harika Abburi, Shradha Sehgal, Himanshu Maheshwari, Vasudeva Varma:
Knowledge-based Neural Framework for Sexism Detection and Classification. IberLEF@SEPLN 2021: 402-414 - [c192]Yash Agrawal, Vivek Anand, S. Arunachalam, Vasudeva Varma:
Hierarchical Model for Goal Guided Summarization of Annual Financial Reports. WWW (Companion Volume) 2021: 247-254 - [i33]Sayar Ghosh Roy, Ujwal Narayan, Tathagata Raha, Zubair Abid, Vasudeva Varma:
Leveraging Multilingual Transformers for Hate Speech Detection. CoRR abs/2101.03207 (2021) - [i32]Tathagata Raha, Sayar Ghosh Roy, Ujwal Narayan, Zubair Abid, Vasudeva Varma:
Task Adaptive Pretraining of Transformers for Hostility Detection. CoRR abs/2101.03382 (2021) - [i31]Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma:
Summaformers @ LaySumm 20, LongSumm 20. CoRR abs/2101.03553 (2021) - [i30]Tathagata Raha, Vijayasaradhi Indurthi, Aayush Upadhyaya, Jeevesh Kataria, Pramud Bommakanti, Vikram Keswani, Vasudeva Varma:
Identifying COVID-19 Fake News in Social Media. CoRR abs/2101.11954 (2021) - [i29]Sachin Pawar, Ravina More, Girish K. Palshikar, Pushpak Bhattacharyya, Vasudeva Varma:
Knowledge-based Extraction of Cause-Effect Relations from Biomedical Text. CoRR abs/2103.06078 (2021) - [i28]Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma:
Transformer Models for Text Coherence Assessment. CoRR abs/2109.02176 (2021) - 2020
- [j20]Nikhil Pattisapu, Vivek Anand, Sangameshwar Patil, Girish Keshav Palshikar, Vasudeva Varma:
Distant supervision for medical concept normalization. J. Biomed. Informatics 109: 103522 (2020) - [c191]Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma:
Adapting Language Models for Non-Parallel Author-Stylized Rewriting. AAAI 2020: 9008-9015 - [c190]Swapnil Hingmire, Nitin Ramrakhiyani, Avinash Kumar Singh, Sangameshwar Patil, Girish Keshav Palshikar, Pushpak Bhattacharyya, Vasudeva Varma:
Extracting Message Sequence Charts from Hindi Narrative Text. NUSE@ACL 2020: 87-96 - [c189]Manish Gupta, Vasudeva Varma, Sonam Damani, Kedhar Nath Narahari:
Compression of Deep Learning Models for NLP. CIKM 2020: 3507-3508 - [c188]Nikhil Pinnaparaju, Vijayasaradhi Indurthi, Vasudeva Varma:
Identifying Fake News Spreaders in Social Media. CLEF (Working Notes) 2020 - [c187]Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Gupta, Vasudeva Varma:
Predicting Clickbait Strength in Online Social Media. COLING 2020: 4835-4846 - [c186]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Semi-supervised Multi-task Learning for Multi-label Fine-grained Sexism Classification. COLING 2020: 5810-5820 - [c185]Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma:
Summaformers @ LaySumm 20, LongSumm 20. SDP@EMNLP 2020: 336-343 - [c184]Sayar Ghosh Roy, Ujwal Narayan, Tathagata Raha, Zubair Abid, Vasudeva Varma:
Leveraging Multilingual Transformers for Hate Speech Detection. FIRE (Working Notes) 2020: 128-138 - [c183]Kripabandhu Ghosh, Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya, Vasudeva Varma:
Retrieval of Prior Court Cases Using Witness Testimonies. JURIX 2020: 43-51 - [c182]Sravani Boinepelli, Manish Shrivastava, Vasudeva Varma:
SIS@IIITH at SemEval-2020 Task 8: An Overview of Simple Text Classification Methods for Meme Analysis. SemEval@COLING 2020: 1190-1194 - [c181]Nikhil Pattisapu, Nishant Prabhu, Smriti Bhati, Vasudeva Varma:
Leveraging Social Media for Medical Text Simplification. SIGIR 2020: 851-860 - [c180]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Fine-grained Multi-label Sexism Classification Using Semi-supervised Learning. WISE (2) 2020: 531-547 - [c179]Alok Debnath, Nikhil Pinnaparaju, Manish Shrivastava, Vasudeva Varma, Isabelle Augenstein:
Semantic Textual Similarity of Sentences with Emojis. WWW (Companion Volume) 2020: 426-430 - [i27]Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma:
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. CoRR abs/2001.05495 (2020)
2010 – 2019
- 2019
- [j19]Supratik Chakraborty, Vasudeva Varma:
Highlights of software R&D in India. Commun. ACM 62(11): 88-91 (2019) - [j18]Pattisapu Nikhil Priyatam, Manish Gupta, Ponnurangam Kumaraguru, Vasudeva Varma:
A distant supervision based approach to medical persona classification. J. Biomed. Informatics 94 (2019) - [c178]Bakhtiyar Syed, Vijayasaradhi Indurthi, Kulin Shah, Manish Gupta, Vasudeva Varma:
Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer. AffCon@AAAI 2019: 120-128 - [c177]Bakhtiyar Syed, Vijayasaradhi Indurthi, Manish Gupta, Manish Shrivastava, Vasudeva Varma:
Inductive Transfer Learning for Detection of Well-Formed Natural Language Search Queries. ECIR (2) 2019: 45-52 - [c176]Nitin Ramrakhiyani, Girish K. Palshikar, Vasudeva Varma:
A Simple Neural Approach to Spatial Role Labelling. ECIR (2) 2019: 102-108 - [c175]Litton J. Kurisinkel, Yue Zhang, Vasudeva Varma:
Domain Adaptive Neural Sentence Compression by Tree Cutting. ECIR (1) 2019: 475-488 - [c174]Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Multi-label Categorization of Accounts of Sexism using a Neural Framework. EMNLP/IJCNLP (1) 2019: 1642-1652 - [c173]Girish Keshav Palshikar, Nitin Ramrakhiyani, Sangameshwar Patil, Sachin Pawar, Swapnil Hingmire, Vasudeva Varma, Pushpak Bhattacharyya:
Extraction of Message Sequence Charts from Software Use-Case Descriptions. NAACL-HLT (2) 2019: 130-137 - [c172]Nikhil Pattisapu, Sangameshwar Patil, Girish K. Palshikar, Vasudeva Varma:
Medical Concept Normalization by Encoding Target Knowledge. ML4H@NeurIPS 2019: 246-259 - [c171]Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Shrivastava, Nikhil Chakravartula, Manish Gupta, Vasudeva Varma:
FERMI at SemEval-2019 Task 5: Using Sentence embeddings to Identify Hate Speech Against Immigrants and Women in Twitter. SemEval@NAACL-HLT 2019: 70-74 - [c170]Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Shrivastava, Manish Gupta, Vasudeva Varma:
Fermi at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Sentence Embeddings. SemEval@NAACL-HLT 2019: 611-616 - [c169]Bakhtiyar Syed, Vijayasaradhi Indurthi, Manish Shrivastava, Manish Gupta, Vasudeva Varma:
Fermi at SemEval-2019 Task 8: An elementary but effective approach to Question Discernment in Community QA Forums. SemEval@NAACL-HLT 2019: 1160-1164 - [c168]Bakhtiyar Syed, Vijayasaradhi Indurthi, Balaji Vasan Srinivasan, Vasudeva Varma:
Helium @ CL-SciSumm-19 : Transfer learning for effective scientific research comprehension. BIRNDL@SIGIR 2019: 214-223 - [c167]Nisarg Jhaveri, Manish Gupta, Vasudeva Varma:
clstk: The Cross-Lingual Summarization Tool-Kit. WSDM 2019: 766-769 - [c166]Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma:
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. WWW 2019: 49-59 - [c165]Dhruv Khattar, Jaipal Singh Goud, Manish Gupta, Vasudeva Varma:
MVAE: Multimodal Variational Autoencoder for Fake News Detection. WWW 2019: 2915-2921 - [i26]Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma:
Adapting Language Models for Non-Parallel Author-Stylized Rewriting. CoRR abs/1909.09962 (2019) - [i25]Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Multi-label Categorization of Accounts of Sexism using a Neural Framework. CoRR abs/1910.04602 (2019) - [i24]Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. CoRR abs/1912.11688 (2019) - [i23]Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Hybrid MemNet for Extractive Summarization. CoRR abs/1912.11701 (2019) - 2018
- [j17]Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar, Vasudeva Varma:
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction. BMC Bioinform. 19-S(8): 212:1-212:7 (2018) - [c164]Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. AAAI 2018: 5473-5480 - [c163]Sangameshwar Patil, Sachin Pawar, Swapnil Hingmire, Girish Keshav Palshikar, Vasudeva Varma, Pushpak Bhattacharyya:
Identification of Alias Links among Participants in Narratives. ACL (2) 2018: 63-68 - [c162]Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. CIKM Workshops 2018 - [c161]Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta:
HRAM: A Hybrid Recurrent Attention Machine for News Recommendation. CIKM 2018: 1619-1622 - [c160]Raghuram Vadapalli, Bakhtiyar Syed, Nishant Prabhu, Balaji Vasan Srinivasan, Vasudeva Varma:
Sci-Blogger: A Step Towards Automated Science Journalism. CIKM 2018: 1787-1790 - [c159]Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta:
Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation. CIKM 2018: 1855-1858 - [c158]Yash Kumar Lal, Dhruv Khattar, Vaibhav Kumar, Abhimanshu Mishra, Vasudeva Varma:
Check It Out : Politics and Neural Networks. CLEF (Working Notes) 2018 - [c157]Vijayasaradhi Indurthi, Subba Reddy Oota, Manish Gupta, Vasudeva Varma:
Believe it or not!: identifying bizarre news in online news media. COMAD/CODS 2018: 257-264 - [c156]Nisarg Jhaveri, Manish Gupta, Vasudeva Varma:
Translation Quality Estimation for Indian Languages. EAMT 2018: 179-188 - [c155]Raksha Sanjay Jalan, Manish Gupta, Vasudeva Varma:
Medical Forum Question Classification Using Deep Learning. ECIR 2018: 45-58 - [c154]Dhruv Khattar, Vaibhav Kumar, Manish Gupta, Vasudeva Varma:
Neural Content-Collaborative Filtering for News Recommendation. NewsIR@ECIR 2018: 45-50 - [c153]Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar:
Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. ECIR 2018: 59-71 - [c152]Pinkesh Badjatiya, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma:
Attention-Based Neural Text Segmentation. ECIR 2018: 180-193 - [c151]Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar:
Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. ECIR 2018: 556-562 - [c150]Raghuram Vadapalli, Bakhtiyar Syed, Nishant Prabhu, Balaji Vasan Srinivasan, Vasudeva Varma:
When science journalism meets artificial intelligence : An interactive demonstration. EMNLP (Demonstration) 2018: 163-168 - [c149]Lalit Mohan Sanagavarapu, Sourav Sarangi, Y. Raghu Reddy, Vasudeva Varma:
Fine Grained Approach for Domain Specific Seed URL Extraction. HICSS 2018: 1-8 - [c148]Nisarg Jhaveri, Manish Gupta, Vasudeva Varma:
A Workbench for Rapid Generation of Cross-Lingual Summaries. LREC 2018 - [c147]Priya Radhakrishnan, Partha P. Talukdar, Vasudeva Varma:
ELDEN: Improved Entity Linking Using Densified Knowledge Graphs. NAACL-HLT 2018: 1844-1853 - [c146]Pruthwik Mishra, Litton J. Kurisinkel, Dipti Misra Sharma, Vasudeva Varma:
EquGener: A Reasoning Network for Word Problem Solving by Generating Arithmetic Equations. PACLIC 2018 - [c145]Pulkit Parikh, Manish Gupta, Vasudeva Varma:
Tapping Community Memberships and Devising a Novel Homophily Modeling Approach for Trust Prediction. PAKDD (3) 2018: 231-243 - [c144]Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, Vasudeva Varma:
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks. SIGIR 2018: 1225-1228 - [e2]Y. Raghu Reddy, Vasudeva Varma, Jane Cleland-Huang, Umesh Bellur, Shubashsis Sengupta, Naveen Sharma, Ramesh Loganathan, Richa Sharma, Santonu Sarkar:
Proceedings of the 11th Innovations in Software Engineering Conference, ISEC 2018, Hyderabad, India, February 09 - 11, 2018. ACM 2018 [contents] - [i22]Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish K. Palshikar:
Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. CoRR abs/1802.05121 (2018) - [i21]Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish K. Palshikar:
Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. CoRR abs/1802.05130 (2018) - [i20]Vaibhav Kumar, Mrinal Dhar, Dhruv Khattar, Yash Kumar Lal, Abhimanshu Mishra, Manish Shrivastava, Vasudeva Varma:
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection. CoRR abs/1808.00957 (2018) - [i19]Pinkesh Badjatiya, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma:
Attention-based Neural Text Segmentation. CoRR abs/1808.09935 (2018) - 2017
- [j16]Priya Radhakrishnan, Ganesh Jawahar, Manish Gupta, Vasudeva Varma:
SNEIT: Salient Named Entity Identification in Tweets. Computación y Sistemas 21(4) (2017) - [j15]Naveen Kulkarni, Vasudeva Varma:
Perils of opportunistically reusing software module. Softw. Pract. Exp. 47(7): 971-984 (2017) - [j14]Naveen Kulkarni, Vasudeva Varma:
Supporting comprehension of unfamiliar programs by modeling cues. Softw. Qual. J. 25(1): 307-340 (2017) - [c143]Ganesh J, Manish Gupta, Vasudeva Varma:
Interpretation of Semantic Tweet Representations. ASONAM 2017: 95-102 - [c142]Shashank Gupta, Pulkit Parikh, Manish Gupta, Vasudeva Varma:
Simultaneous Inference of User Representations and Trust. ASONAM 2017: 175-178 - [c141]Pattisapu Nikhil Priyatam, Manish Gupta, Ponnurangam Kumaraguru, Vasudeva Varma:
Medical Persona Classification in Social Media. ASONAM 2017: 377-384 - [c140]Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Hybrid MemNet for Extractive Summarization. CIKM 2017: 2303-2306 - [c139]Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
Deep Neural Architecture for News Recommendation. CLEF (Working Notes) 2017 - [c138]Pulkit Goel, Kumar Rishabh, Vasudeva Varma:
An Alternate Load Distribution Scheme in DHTs. CloudCom 2017: 218-222 - [c137]Ganesh J, Manish Gupta, Vasudeva Varma:
Improving Tweet Representations Using Temporal and User Context. ECIR 2017: 575-581 - [c136]Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma:
Leveraging Moderate User Data for News Recommendation. ICDM Workshops 2017: 757-760 - [c135]Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Vasudeva Varma:
Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation. ICDM Workshops 2017: 761-764 - [c134]Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
User Profiling Based Deep Neural Network for Temporal News Recommendation. ICDM Workshops 2017: 765-772 - [c133]Vasudeva Varma:
Keynote Lecture 3: Towards Abstractive Summarization. ICON 2017: 417 - [c132]Raghuram Vadapalli, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma:
SSAS: Semantic Similarity for Abstractive Summarization. IJCNLP(2) 2017: 198-203 - [c131]Litton J. Kurisinkel, Yue Zhang, Vasudeva Varma:
Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization. IJCNLP(1) 2017: 812-821 - [c130]Shashank Gupta, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma, Umang Gupta:
Enhancing Categorization of Computer Science Research Papers using Knowledge Bases. KG4IR@SIGIR 2017: 38-42 - [c129]Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma:
Deep Learning for Hate Speech Detection in Tweets. WWW (Companion Volume) 2017: 759-760 - [c128]Shashank Gupta, Vasudeva Varma:
Scientific Article Recommendation by using Distributed Representations of Text and Graph. WWW (Companion Volume) 2017: 1267-1268 - [i18]Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya, Nitin Ramrakhiyani, Shashank Gupta, Vasudeva Varma:
TCS Research at TAC 2017: Joint Extraction of Entities and Relations from Drug Labels using an Ensemble of Neural Networks. TAC 2017 - [i17]Ganesh J, Manish Gupta, Vasudeva Varma:
Interpretation of Semantic Tweet Representations. CoRR abs/1704.00898 (2017) - [i16]Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma:
Deep Learning for Hate Speech Detection in Tweets. CoRR abs/1706.00188 (2017) - [i15]Shashank Gupta, Pulkit Parikh, Manish Gupta, Vasudeva Varma:
Simultaneous Inference of User Representations and Trust. CoRR abs/1706.00923 (2017) - [i14]Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar, Vasudeva Varma:
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction. CoRR abs/1709.01687 (2017) - 2016
- [j13]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
A graph-based unsupervised N-gram filtration technique for automatic keyphrase extraction. Int. J. Data Min. Model. Manag. 8(2): 124-143 (2016) - [j12]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
Unsupervised deep semantic and logical analysis for identification of solution posts from community answers. Int. J. Inf. Decis. Sci. 8(2): 153-178 (2016) - [c127]Aditya Joshi, Ameya Prabhu, Manish Shrivastava, Vasudeva Varma:
Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text. COLING 2016: 2482-2491 - [c126]Raksha Sanjay Jalan, Pattisapu Nikhil Priyatam, Vasudeva Varma:
Consumer Health Information System. FIRE (Working Notes) 2016: 217-220 - [c125]Ayushi Dalmia, Manish Gupta, Vasudeva Varma:
Query-Based Evolutionary Graph Cuboid Outlier Detection. ICDM Workshops 2016: 85-92 - [c124]Satarupa Guha, Tanmoy Chakraborty, Samik Datta, Mohit Kumar, Vasudeva Varma:
TweetGrep: Weakly Supervised Joint Retrieval and Sentiment Analysis of Topical Tweets. ICWSM 2016: 161-170 - [c123]Litton J. Kurisinkel, Pruthwik Mishra, Vigneshwaran Muralidaran, Vasudeva Varma, Dipti Misra Sharma:
Non-decreasing Sub-modular Function for Comprehensible Summarization. SRW@HLT-NAACL 2016: 94-101 - [c122]Ganesh J, Manish Gupta, Vasudeva Varma:
Doc2Sent2Vec: A Novel Two-Phase Approach for Learning Document Representation. SIGIR 2016: 809-812 - [c121]Ganesh J, Soumyajit Ganguly, Manish Gupta, Vasudeva Varma, Vikram Pudi:
Author2Vec: Learning Author Representations by Combining Content and Link Information. WWW (Companion Volume) 2016: 49-50 - [i13]Ameya Prabhu, Aditya Joshi, Manish Shrivastava, Vasudeva Varma:
Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text. CoRR abs/1611.00472 (2016) - [i12]Ganesh J, Manish Gupta, Vasudeva Varma:
Interpreting the Syntactic and Social Elements of the Tweet Representations via Elementary Property Prediction Tasks. CoRR abs/1611.04887 (2016) - [i11]Ganesh J, Manish Gupta, Vasudeva Varma:
Improving Tweet Representations using Temporal and User Context. CoRR abs/1612.06062 (2016) - 2015
- [j11]Kula Kekeba Tune, Vasudeva Varma:
Building CLIA for Resource-Scarce African Languages: A Case Study on Oromo - English CLIR. Int. J. Inf. Retr. Res. 5(1): 48-67 (2015) - [j10]Litton J. Kurisinkel, Vigneshwaran Muralidaran, Vasudeva Varma, Dipti Misra Sharma:
Readable and Coherent MultiDocument Summarization. Res. Comput. Sci. 90: 295-311 (2015) - [j9]Pattisapu Nikhil Priyatam, Ajay Dubey, Krish Perumal, Dharmesh Kakadia, Vasudeva Varma:
Measuring Diversity of a Domain-Specific Crawl. Res. Comput. Sci. 90: 313-321 (2015) - [c120]Kirti Garg, Ashish Sureka, Vasudeva Varma:
A Case Study on Teaching Software Engineering Concepts using a Case-Based Learning Environment. QuASoQ/WAWSE/CMCE@APSEC 2015: 71-78 - [c119]Ayushi Dalmia, Manish Gupta, Vasudeva Varma:
Query-based Graph Cuboid Outlier Detection. ASONAM 2015: 705-712 - [c118]Lakshminarayan Srinivasan, Vasudeva Varma:
Adaptive Load-Balancing for Consistent Hashing in Heterogeneous Clusters. CCGRID 2015: 1135-1138 - [c117]Piyush Bansal, Romil Bansal, Vasudeva Varma:
Towards Deep Semantic Analysis of Hashtags. ECIR 2015: 453-464 - [c116]Kirti Garg, Vasudeva Varma:
Systemic Requirements of a Software Engineering Learning Environment. ISEC 2015: 147-155 - [c115]Anuhya Vajapeyajula, Priya Radhakrishnan, Vasudeva Varma:
Survey of Social Commerce Research. MIKE 2015: 493-503 - [c114]Ayushi Dalmia, Manish Gupta, Vasudeva Varma:
IIIT-H at SemEval 2015: Twitter Sentiment Analysis - The Good, the Bad and the Neutral! SemEval@NAACL-HLT 2015: 520-526 - [c113]Satarupa Guha, Aditya Joshi, Vasudeva Varma:
Sentibase: Sentiment Analysis in Twitter on a Budget. SemEval@NAACL-HLT 2015: 590-594 - [c112]Satarupa Guha, Aditya Joshi, Vasudeva Varma:
SIEL: Aspect Based Sentiment Analysis in Reviews. SemEval@NAACL-HLT 2015: 759-766 - [c111]Piyush Bansal, Somay Jain, Vasudeva Varma:
Towards Semantic Retrieval of Hashtags in Microblogs. WWW (Companion Volume) 2015: 7-8 - [i10]Piyush Bansal, Romil Bansal, Vasudeva Varma:
Towards Deep Semantic Analysis Of Hashtags. CoRR abs/1501.03210 (2015) - 2014
- [j8]Kushal S. Dave, Vasudeva Varma:
Computational Advertising: Techniques for Targeting Relevant Ads. Found. Trends Inf. Retr. 8(4-5): 263-418 (2014) - [c110]Sandeep Panem, Manish Gupta, Vasudeva Varma:
Structured Information Extraction from Natural Disaster Events on Twitter. Web-KRM@CIKM 2014: 1-8 - [c109]Romil Bansal, Sandeep Panem, Manish Gupta, Vasudeva Varma:
EDIUM: Improving Entity Disambiguation via User Modeling. ECIR 2014: 418-423 - [c108]Sandeep Panem, Romil Bansal, Manish Gupta, Vasudeva Varma:
Entity Tracking in Real-Time Using Sub-topic Detection on Twitter. ECIR 2014: 528-533 - [c107]Lakshminarayan Srinivasan, Vasudeva Varma:
Cost Based Approach to Block Placement for Distributed File Systems. FiCloud 2014: 132-138 - [c106]Devadath V. V, Litton J. Kurisinkel, Dipti Misra Sharma, Vasudeva Varma:
A Sandhi Splitter for Malayalam. ICON 2014: 156-161 - [c105]Naveen Kulkarni, Vasudeva Varma:
Supporting comprehension of unfamiliar programs by modeling an expert's perception. RAISE 2014: 19-24 - [c104]Ajay Dubey, Parth Gupta, Vasudeva Varma, Paolo Rosso:
Enrichment of Bilingual Dictionary through News Stream Data. LREC 2014: 3761-3765 - [c103]Romil Bansal, Sandeep Panem, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma:
Linking Entities in #Microposts. #MSM 2014: 71-72 - [c102]Priya Radhakrishnan, Romil Bansal, Manish Gupta, Vasudeva Varma:
Exploiting Wikipedia inlinks for linking entities in queries. ERD@SIGIR 2014: 101-104 - [c101]Priya Radhakrishnan, Manish Gupta, Vasudeva Varma:
Modeling the evolution of product entities. SIGIR 2014: 923-926 - [c100]Manish Gupta, Piyush Bansal, Vasudeva Varma:
CharBoxes: a system for automatic discovery of character infoboxes from books. SIGIR 2014: 1255-1256 - [c99]K. Santosh, Aditya Joshi, Manish Gupta, Vasudeva Varma:
Exploiting Wikipedia Categorization for Predicting Age and Gender of Blog Authors. UMAP Workshops 2014 - [c98]Pattisapu Nikhil Priyatam, Ajay Dubey, Krish Perumal, Sai Praneeth, Dharmesh Kakadia, Vasudeva Varma:
Seed selection for domain-specific search. WWW (Companion Volume) 2014: 923-928 - [i9]Radheshyam Nanduri, Dharmesh Kakadia, Vasudeva Varma:
Energy and SLA aware VM Scheduling. CoRR abs/1411.6114 (2014) - 2013
- [j7]Ajay Dubey, Vasudeva Varma:
Generación de diccionarios bilingües usando las propiedades estructurales. Computación y Sistemas 17(2) (2013) - [j6]Pattisapu Nikhil Priyatam, Srinivasan Iyengar, Krish Perumal, Vasudeva Varma:
Don't Use a Lot When Little Will Do: Genre Identification Using URLs. Res. Comput. Sci. 70: 233-243 (2013) - [c97]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
A Knowledge Induced Graph-Theoretical Model for Extract and Abstract Single Document Summarization. CICLing (2) 2013: 408-423 - [c96]Priya Radhakrishnan, Vasudeva Varma:
Extracting semantic knowledge from Wikipedia category names. AKBC@CIKM 2013: 109-114 - [c95]Aditya Pavan, Aditya Mogadala, Vasudeva Varma:
Author Profiling using LDA and Maximum Entropy Notebook for PAN at CLEF 2013. CLEF (Working Notes) 2013 - [c94]K. Santosh, Romil Bansal, Mihir Shekhar, Vasudeva Varma:
Author Profiling: Predicting Age and Gender from Blogs Notebook for PAN at CLEF 2013. CLEF (Working Notes) 2013 - [c93]Dharmesh Kakadia, Vasudeva Varma:
Network Virtualization Platform for Hybrid Cloud. CloudCom (2) 2013: 69-74 - [c92]Ankit Patil, Kushal S. Dave, Vasudeva Varma:
Leveraging Latent Concepts for Retrieving Relevant Ads for Short Text. ECIR 2013: 780-783 - [c91]Arpit Sood, Thanvir P. Mohamed, Vasudeva Varma:
Topic-Focused Summarization of Chat Conversations. ECIR 2013: 800-803 - [c90]Vinay Pande, Tanmoy Mukherjee, Vasudeva Varma:
Summarizing Answers for Community Question Answer Services. GSCL 2013: 151-161 - [c89]Sarvesh Ranade, Jayant Gupta, Vasudeva Varma, Radhika Mamidi:
Online debate summarization using topic directed sentiment analysis. WISDOM 2013: 7:1-7:6 - [c88]Dharmesh Kakadia, Nandish Kopri, Vasudeva Varma:
Network-aware virtual machine consolidation for large data centers. NDM@SC 2013: 6:1-6:8 - [c87]Harshit Jain, Aditya Mogadala, Vasudeva Varma:
sielers : Feature Analysis and Polarity Classification of Expressions from Twitter and SMS Data. SemEval@NAACL-HLT 2013: 525-529 - [c86]Vinay Pande, Tanmoy Mukherjee, Vasudeva Varma:
Domain Specific Facts Extraction Using Weakly Supervised Active Learning Approach. Web Intelligence 2013: 246-251 - [c85]Kushal S. Dave, Vishal Vaingankar, Sumanth Kolar, Vasudeva Varma:
Timespent based models for predicting user retention. WWW 2013: 331-342 - 2012
- [j5]Nitesh Maheshwari, Radheshyam Nanduri, Vasudeva Varma:
Dynamic energy efficient data placement and cluster reconfiguration algorithm for MapReduce framework. Future Gener. Comput. Syst. 28(1): 119-127 (2012) - [c84]Vundavalli Srinivasarao, Vasudeva Varma:
Web Image Annotation Using an Effective Term Weighting. CICLing (2) 2012: 286-296 - [c83]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
Using Graph Based Mapping of Co-occurring Words and Closeness Centrality Score for Summarization Evaluation. CICLing (2) 2012: 353-365 - [c82]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
Using Wikipedia Anchor Text and Weighted Clustering Coefficient to Enhance the Traditional Multi-document Summarization. CICLing (2) 2012: 390-401 - [c81]Aditya Mogadala, Vasudeva Varma:
Twitter user behavior understanding with mood transition prediction. DUBMMSM 2012: 31-34 - [c80]Kushal Shailesh Dave, Vasudeva Varma:
Identifying Microblogs for Targeted Contextual Advertising. ICWSM 2012 - [c79]Akshat Bakliwal, Piyush Arora, Vasudeva Varma:
Hindi Subjective Lexicon: A Lexical Resource for Hindi Adjective Polarity Classification. LREC 2012: 1189-1196 - [c78]Aditya Mogadala, Vasudeva Varma:
Language Independent Sentence-Level Subjectivity Analysis with Feature Selection. PACLIC 2012: 171-180 - [c77]Akshat Bakliwal, Piyush Arora, Senthil Madhappan, Nikhil Kapre, Mukesh Singh, Vasudeva Varma:
Mining Sentiments from Tweets. WASSA@ACL 2012: 11-18 - [e1]Sanjeev K. Aggarwal, T. V. Prabhakar, Vasudeva Varma, Srinivas Padmanabhuni:
Proceeding of the 5th Annual India Software Engineering Conference, ISEC 2012, Kanpur, India, February 22-25, 2012. ACM 2012, ISBN 978-1-4503-1142-7 [contents] - [i8]Vasudeva Varma, Bhaskar Ghosh, Mohan Soundararajan, Deepti Aggarwal, Priya Radhakrishnan:
IIIT Hyderabad at TAC 2012. TAC 2012 - 2011
- [j4]Kiran Sarvabhotla, Prasad Pingali, Vasudeva Varma:
Sentiment classification: a lexical similarity based approach for extracting subjectivity in documents. Inf. Retr. 14(3): 337-353 (2011) - [c76]Rohit G. Bharadwaj, Vasudeva Varma:
Language-Independent Context Aware Query Translation using Wikipedia. BUCC@ACL 2011: 145-150 - [c75]Vundavalli Srinivasarao, Prasad Pingali, Vasudeva Varma:
Effective Term Weighting in ALT Text Prediction for Web Image Retrieval. APWeb 2011: 237-244 - [c74]G. S. K. Santosh, N. Kiran Kumar, Vasudeva Varma:
Ranking Multilingual Documents Using Minimal Language Dependent Resources. CICLing (2) 2011: 212-220 - [c73]Manisha Verma, Vasudeva Varma:
Patent search using IPC classification vectors. PaIR@CIKM 2011: 9-12 - [c72]Prashant Ullegaddi, Vasudeva Varma:
Learning to rank categories for web queries. CIKM 2011: 2065-2068 - [c71]N. Kiran Kumar, G. S. K. Santosh, Vasudeva Varma:
A Language-Independent Approach to Identify the Named Entities in Under-Resourced Languages and Clustering Multilingual Documents. CLEF 2011: 74-82 - [c70]Manisha Verma, Vasudeva Varma:
Exploring Keyphrase Extraction and IPC Classification Vectors for Prior Art Search. CLEF (Notebook Papers/Labs/Workshop) 2011 - [c69]Radheshyam Nanduri, Nitesh Maheshwari, A. Reddyraja, Vasudeva Varma:
Job Aware Scheduling Algorithm for MapReduce Framework. CloudCom 2011: 724-729 - [c68]Rambhoopal Kothwal, Vasudeva Varma:
Cross Lingual Text Reuse Detection Based on Keyphrase Extraction and Similarity Measures. FIRE 2011: 71-78 - [c67]Aditya Mogadala, Rambhoopal Kothwal, Vasudeva Varma:
Language Modeling Approach to Retrieval for SMS and FAQ Matching. FIRE 2011: 119-130 - [c66]Manisha Verma, Vasudeva Varma:
Applying key phrase extraction to aid invalidity search. ICAIL 2011: 249-255 - [c65]Kushal Shailesh Dave, Rushi Bhatt, Vasudeva Varma:
Modelling Action Cascades in Social Networks. ICWSM 2011 - [c64]Sudheer Kovelamudi, Sethu Ramalingam, Arpit Sood, Vasudeva Varma:
Domain Independent Model for Product Attribute Extraction from User Reviews using Wikipedia. IJCNLP 2011: 1408-1412 - [c63]N. Kiran Kumar, G. S. K. Santosh, Vasudeva Varma:
Multilingual Document Clustering Using Wikipedia as External Knowledge. IRFC 2011: 108-117 - [c62]N. Kiran Kumar, G. S. K. Santosh, Vasudeva Varma:
Effectively Mining Wikipedia for Clustering Multilingual Documents. NLDB 2011: 254-257 - [c61]Sudip Datta, Vasudeva Varma:
Tossing coins to trim long queries. SIGIR 2011: 1255-1256 - [c60]Rohit G. Bharadwaj, Vasudeva Varma:
Language independent identification of parallel sentences using Wikipedia. WWW (Companion Volume) 2011: 11-12 - [i7]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
Using Unsupervised System with least linguistic features for TAC-AESOP Task. TAC 2011 - [i6]George Giannakopoulos, Mahmoud El-Haj, Benoît Favre, Marina Litvak, Josef Steinberger, Vasudeva Varma:
TAC2011 MultiLing Pilot Overview. TAC 2011 - [i5]Vasudeva Varma, Sudheer Kovelamudi, Arpit Sood, Jayant Gupta, Harshit Jain, Pattisapu Nikhil Priyatam, Aditya Mogadala, Srikanth Reddy Vaddepally:
IIIT Hyderabad in Summarization and Knowledge Base Population at TAC 2011. TAC 2011 - 2010
- [j3]Kranthi Reddy B., Karuna Kumar, Sai Krishna, Prasad Pingali, Vasudeva Varma:
Linking Named Entities to a Structured Knowledge Base. Int. J. Comput. Linguistics Appl. 1(1-2): 121-136 (2010) - [j2]Kiran Sarvabhotla, Prasad Pingali, Vasudeva Varma:
Supervised Learning Approaches for Rating Customer Reviews. J. Intell. Syst. 19(1): 79-94 (2010) - [c59]Amit Sangroya, Kirti Garg, Vasudeva Varma:
SAGE: An Approach to Evaluate the Impact of SOA Governance Policies. AINA Workshops 2010: 539-544 - [c58]Gokavarapu Srinivas, Niket Tandon, Vasudeva Varma:
A weighted tag similarity measure based on a collaborative weight model. SMUC@CIKM 2010: 79-86 - [c57]Kushal S. Dave, Vasudeva Varma:
Pattern based keyword extraction for contextual advertising. CIKM 2010: 1885-1888 - [c56]Nithin Kumar, Vasudeva Varma:
Generating Simulated Relevance Feedback: A Prognostic Search approach. COLING (Posters) 2010: 597-604 - [c55]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
Evaluating Information Coverage in Machine Generated Summary and Variable Length Documents. COMAD 2010: 163 - [c54]Niraj Kumar, Venkata Vinay Babu Vemula, Kannan Srinathan, Vasudeva Varma:
Exploiting N-gram Importance and Wikipedia based Additional Knowledge for Improvements in GAAC based Document Clustering. KDIR 2010: 182-187 - [c53]Nihar Sharma, Vasudeva Varma:
Query Processing for Enterprise Search with Wikipedia Link Structure. KDIR 2010: 243-248 - [c52]Amit Sangroya, Saurabh Kumar, Jaideep Dhok, Vasudeva Varma:
Towards Analyzing Data Security Risks in Cloud Computing Environments. ICISTM 2010: 255-265 - [c51]Jaideep Dhok, Nitesh Maheshwari, Vasudeva Varma:
Learning based opportunistic admission control algorithm for MapReduce as a service. ISEC 2010: 153-160 - [c50]Sree Harsha Yella, Vasudeva Varma, Kishore Prahallad:
Prominence based scoring of speech segments for automatic speech-to-speech summarization. INTERSPEECH 2010: 1297-1300 - [c49]Akshey Jawa, Sudip Datta, Sujeeth Nanda, Vishal Garg, Vasudeva Varma, Suresh Chande, Murali Krishna Punaganti Venkata:
SMEO: A Platform for Smart Classrooms with Enhanced Information Access and Operations Automation. NEW2AN 2010: 123-134 - [c48]Kushal S. Dave, Vasudeva Varma:
Learning the click-through rate for rare/new ads from similar ads. SIGIR 2010: 897-898 - [c47]Sree Harsha Yella, Vasudeva Varma, Kishore Prahallad:
Significance of anchor speaker segments for constructing extractive audio summaries of broadcast news. SLT 2010: 13-18 - [c46]Sai Krishna, Prasad Pingali, Vasudeva Varma:
An information retrieval approach to spelling suggestion. WWW 2010: 1135-1136 - [i4]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
An Effective Approach for AESOP and Guided Summarization Task. TAC 2010 - [i3]Vasudeva Varma, Praveen Bysani, Kranthi Reddy B., Vijay Bharath Reddy, Sudheer Kovelamudi, Srikanth Reddy Vaddepally, Radheshyam Nanduri, N. Kiran Kumar, Santhosh Gsk, Prasad Pingali:
IIIT Hyderabad in Guided Summarization and Knowledge Base Population. TAC 2010
2000 – 2009
- 2009
- [c45]Rahul Katragadda, Vasudeva Varma:
Query-Focused Summaries or Query-Biased Summaries? ACL/IJCNLP (2) 2009: 105-108 - [c44]Praneeth Shishtla, Surya Ganesh Veeravalli, Sethuramalingam Subramaniam, Vasudeva Varma:
A Language-Independent Transliteration Schema Using Character Aligned Models at NEWS 2009. NEWS@IJCNLP 2009: 40-43 - [c43]Chandan Kumar, Prasad Pingali, Vasudeva Varma:
Estimating Risk of Picking a Sentence for Document Summarization. CICLing 2009: 571-581 - [c42]Rohit G. Bharadwaj, Surya Ganesh, Vasudeva Varma:
A Naïve Approach for Monolingual Question Answering. CLEF (Working Notes) 2009 - [c41]Kirti Garg, Vasudeva Varma:
Case Studies as Assessment Tools in Software Engineering Classrooms. CSEE&T 2009: 8-11 - [c40]Gil Taran, Vasudeva Varma, Kirti Garg:
Multimedia Case Studies in Software Engineering: A Look at MDM CAP: A Case Authoring Platform for Education and Training. CSEE&T 2009: 296-297 - [c39]Vasudeva Varma, Jocelyn Armarego, Pankaj Jalote:
Foreword. CSEE&T 2009 - [c38]Santosh Raju, Prasad Pingali, Vasudeva Varma:
An Unsupervised Approach to Product Attribute Extraction. ECIR 2009: 796-800 - [c37]V. B. Sowmya, Vasudeva Varma:
Transliteration Based Text Input Methods for Telugu. ICCPOL 2009: 122-132 - [c36]Vasudeva Varma, Prasad Pingali, Nihar Sharma:
Role Based Personalization in Enterprise Search. IICAI 2009: 1415-1428 - [c35]Kiran Sarvabhotla, Kranthi Reddy B., Vasudeva Varma:
Classification based approach for Summarizing Opinions in Blog Posts. IICAI 2009: 1429-1437 - [c34]Santosh Raju, Praneeth Shishtla, Vasudeva Varma:
A Graph Clustering Approach to Product Attribute Extraction. IICAI 2009: 1438-1447 - [c33]Kirti Garg, Vasudeva Varma:
An effective learning environment for teaching problem solving in software architecture. ISEC 2009: 139-140 - [c32]Alain Plantec, Vincent Ribaud, Vasudeva Varma:
Building a semantic virtual museum: from Wiki to semantic Wiki using named entity recognition. OOPSLA Companion 2009: 769-770 - [c31]Surya Ganesh Veeravalli, Vasudeva Varma:
Passage Retrieval Using Answer Type Profiles in Question Answering. PACLIC 2009: 559-568 - [c30]Surya Ganesh, Vasudeva Varma:
Exploiting the Use of Prior Probabilities for Passage Retrieval in Question Answering. RANLP 2009: 99-102 - [c29]Surya Ganesh, Vasudeva Varma:
Exploiting Structure and Content of Wikipedia for Query Expansion in the Context. RANLP 2009: 103-106 - [c28]Chandan Kumar, Prasad Pingali, Vasudeva Varma:
A light-weight summarizer based on language model with relative entropy. SAC 2009: 1752-1753 - [c27]Sethuramalingam Subramaniam, Anil Kumar Singh, Pradeep Dasigi, Vasudeva Varma:
Experiments in CLIR using fuzzy string search based on surface similarity. SIGIR 2009: 682-683 - [c26]Prashant Ullegaddi, Sudip Datta, Vinay Pande, Kushal S. Dave, Vasudeva Varma:
IIIT Hyderabad at Million Query Track TREC 2009. TREC 2009 - [i2]Vasudeva Varma, Vijay Bharath Reddy, Sudheer Kovelamudi, Praveen Bysani, Santhosh Gsk, N. Kiran Kumar, Kranthi Reddy B., Karuna Kumar, Nitin Maganti:
IIIT Hyderabad at TAC 2009. TAC 2009 - 2008
- [c25]Kirti Garg, Vasudeva Varma:
Software Engineering Education in India: Issues and Challenges. CSEE&T 2008: 110-117 - [c24]Chandan Kumar, Prasad Pingali, Vasudeva Varma:
Generating Personalized Summaries Using Publicly Available Web Documents. Web Intelligence/IAT Workshops 2008: 103-106 - [c23]Prasad Pingali, Surya Ganesh, Sree Harsha Yella, Vasudeva Varma:
Statistical Transliteration for Cross Language Information Retrieval using HMM alignment model and CRF. IJCNLP 2008: 42-47 - [c22]Praneeth Shishtla, Prasad Pingali, Vasudeva Varma:
A Character n-gram Based Approach for Improved Recall in Indian Language NER. IJCNLP 2008: 67-74 - [c21]Prasad Pingali, Vasudeva Varma:
Hindi and Telugu to English CLIR using Query Expansion. IJCNLP 2008: 68 - [c20]Praneeth Shishtla, Karthik Gali, Prasad Pingali, Vasudeva Varma:
Experiments in Telugu NER: A Conditional Random Field Approach. IJCNLP 2008: 105-110 - [c19]U. Rohini, Vamshi Ambati, Vasudeva Varma:
Statistical Machine Translation Models for Personalized Search. IJCNLP 2008: 521-528 - [c18]Kirti Garg, Vasudeva Varma:
People issues relating to software engineering education and training in India. ISEC 2008: 121-128 - [c17]Bhudeb Chakravarti, Vasudeva Varma:
Enabling reuse of citizen centric government processes through service oriented architecture. ISEC 2008: 135-136 - [i1]Vasudeva Varma, Prasad Pingali, Rahul Katragadda, Sai Krishna, Surya Ganesh, Kiran Sarvabhotla, Harish Garapati, Hareen Gopisetty, Vijay Bharath Reddy, Kranthi Reddy B., Praveen Bysani, Rohit G. Bharadwaj:
IIIT Hyderabad at TAC 2008. TAC 2008 - 2007
- [j1]Prasad Pingali, Vasudeva Varma:
Multi-lingual Indexing Support for CLIR using Language Modeling. IEEE Data Eng. Bull. 30(1): 70-85 (2007) - [c16]Prasad Pingali, Kula Kekeba Tune, Vasudeva Varma:
Improving Recall for Hindi, Telugu, Oromo to English CLIR. CLEF 2007: 103-110 - [c15]Prasad Pingali, Vasudeva Varma:
IIIT Hyderabad at CLEF 2007 - Adhoc Indian Language CLIR Task. CLEF (Working Notes) 2007 - [c14]Kula Kekeba Tune, Vasudeva Varma:
Oromo-English Information Retrieval Experiments at CLEF 2007. CLEF (Working Notes) 2007 - [c13]Kirti Garg, Vasudeva Varma:
A Study of the Effectiveness of Case Study Approach in Software Engineering Education. CSEE&T 2007: 309-316 - [c12]U. Rohini, Vasudeva Varma:
A Novel Approach for Re-Ranking of Search Results Using Collaborative Filtering. ICCTA 2007: 491-496 - [c11]Jagadeesh Jagarlamudi, Prasad Pingali, Vasudeva Varma:
Capturing Sentence Prior for Query-Based Multi-Document Summarization. RIAO 2007: 798-809 - [c10]Ranbeer Makin, Nikita Pandey, Prasad Pingali, Vasudeva Varma:
Approximate String Matching Techniques for Effective CLIR Among Indian Languages. WILF 2007: 430-437 - [p1]Vasudeva Varma:
Use of Ontologies for Organizational Knowledge Management and Knowledge Management Systems. Ontologies 2007: 21-47 - 2006
- [c9]Kirti Garg, Vasudeva Varma, K. N. Giridhar, Abhishek K. Mishra:
Security: Bridging the Academia-Industry Gap Using a Case Study. APSEC 2006: 485-492 - [c8]Prasad Pingali, Kula Kekeba Tune, Vasudeva Varma:
Hindi, Telugu, Oromo, English CLIR Evaluation. CLEF 2006: 35-42 - [c7]Prasad Pingali, Vasudeva Varma:
Hindi and Telugu to English Cross Language Information Retrieval at CLEF 2006. CLEF (Working Notes) 2006 - [c6]Kula Kekeba Tune, Vasudeva Varma:
Oromo-English Information Retrieval Experiments at CLEF 2006. CLEF (Working Notes) 2006 - [c5]Prasad Pingali, Jagadeesh Jagarlamudi, Vasudeva Varma:
WebKhoj: Indian language IR from multiple character encodings. WWW 2006: 801-809 - 2005
- [c4]J. Jagadeesh, Vasudeva Varma:
Single Document Summarization Using Natural Language Processing. IICAI 2005: 741-748 - [c3]Prasad Pingali, J. Jagadeesh, Vasudeva Varma, Bipin Indurkhya:
Exploring Creative Concepts in the Nearest Neighborhood using Lexical Ontologies. IICAI 2005: 2092-2100 - [c2]Vasudeva Varma, Kirti Garg:
Case Studies: The Potential Teaching Instruments for Software Engineering Education. QSIC 2005: 279-286 - 2002
- [c1]Vasudeva Varma:
Building Large Scale Ontology Networks. Language Engineering Conference 2002: 121
Coauthor Index
[c237] [c233] [c228] [c227] [c217] [i46] [i42] [i38] [i37] [c211] [c207] [c201] [i36] [i35] [j21] [c199] [c198] [c196] [i31] [i28] [c189] [c187] [c185] [i27] [j18] [c178] [c177] [c174] [c171] [c170] [c169] [c167] [c166] [c165] [i25] [i24] [i23] [c164] [c162] [c161] [c159] [c157] [c156] [c155] [c154] [c153] [c152] [c151] [c148] [c145] [i22] [i21] [i19] [j16] [c143] [c142] [c141] [c140] [c139] [c137] [c134] [c132] [c130] [c129] [i17] [i16] [i15] [c125] [c122] [c121] [i12] [i11] [c119] [c114] [c110] [c109] [c108] [c103] [c102] [c101] [c100] [c99]
Girish Keshav Palshikar
aka: Girish K. Palshikar
aka: Girish K. Palshikar
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 20:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
