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ORCIDMayank Singh 0001
Person information
- affiliation: Indian Institute of Technology, Gandhinagar, India
- affiliation (former): Indian Institute of Technology, Kharagpur, India
Other persons with the same name
- Mayank Singh — disambiguation page
- Mayank Singh 0002 — Banaras Hindu University, Institute of Technology, Crypto Group, India
- Mayank Singh 0003 — Texas A&M University, College Station, TX, USA
- Mayank Singh 0004 — Cisco Systems, Bangalore, India
- Mayank Singh 0005 — THDC Institute of Hydropower Engineering & Technology Tehri, India
- Mayank Singh 0006 — Lingaya's University, Faridabad, India
- Mayank Singh 0007
![[0000-0001-7261-6347]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7261-6347")
— Adobe Systems Inc, Noida, India - Mayank Singh 0008 — Consilio Research Lab, Tallinn, Estonia (and 3 more)
- Mayank Singh 0009 — IIT Delhi, India
- Mayank Singh 0010 — Texas Instruments, Dallas, TX, USA
- Mayank Singh 0011 — KIET Group of Institutions, Department of Information Technology, Ghaziabad, India
- Mayank Singh 0012 — Indian Institute of Technology Roorkee, Department of Applied Mathematics and Scientific Computing, India
- Mayank Singh 0013 — North Carolina State University, Electrical and Computer Engineering Department, Raleigh, NC, USA
- Mayank Singh 0014 — Chandigarh University, Kalpana Chawla Centre for Research in Space, Science and Technology, Gharuan, India
- Mayank Singh 0016 — Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
- Mayank Singh 0017 — Grubhub, New York, NY, USA
- Mayank Singh 0018 — International Institute of Information Technology Hyderabad, India
- Mayank Singh 0019 — Fraunhofer IGCV, Augsburg, Germany (and 1 more)
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2020 – today
- 2024
[c50]Akash Ghosh, Venkata Sahith Bathini, Niloy Ganguly, Pawan Goyal, Mayank Singh:
How Robust Are the QA Models for Hybrid Scientific Tabular Data? A Study Using Customized Dataset. LREC/COLING 2024: 8258-8264- [c49]Mayank Singh, Archana Nigam, Sanjay Srivastava:
Study of Traffic Simulation Model for Heterogeneous Traffic. COMSNETS 2024: 222-227 - [c48]Himanshu Beniwal, Kowsik Nandagopan D, Mayank Singh:
Cross-lingual Editing in Multilingual Language Models. EACL (Findings) 2024: 2078-2128 - [i51]Ankit Yadav, Mayank Singh:
Boldly Going Where No Benchmark Has Gone Before: Exposing Bias and Shortcomings in Code Generation Evaluation. CoRR abs/2401.03855 (2024) - [i50]Shruti Singh, Shoaib Alam, Mayank Singh:
LEGOBench: Leaderboard Generation Benchmark for Scientific Models. CoRR abs/2401.06233 (2024) - [i49]Himanshu Beniwal, Kowsik Nandagopan D, Mayank Singh:
Cross-lingual Editing in Multilingual Language Models. CoRR abs/2401.10521 (2024) - [i48]Himanshu Beniwal, Kowsik Nandagopan D, Mayank Singh:
Remember This Event That Year? Assessing Temporal Information and Reasoning in Large Language Models. CoRR abs/2402.11997 (2024) - [i47]Akash Ghosh, B. Venkata Sahith, Niloy Ganguly, Pawan Goyal, Mayank Singh:
How Robust are the Tabular QA Models for Scientific Tables? A Study using Customized Dataset. CoRR abs/2404.00401 (2024) - [i46]Rajvee Sheth, Shubh Nisar, Heenaben Prajapati, Himanshu Beniwal, Mayank Singh:
COMMENTATOR: A Code-mixed Multilingual Text Annotation Framework. CoRR abs/2408.03125 (2024) - 2023
- [j8]Pratik Kayal, Mrinal Anand, Harsh Desai, Mayank Singh:
Tables to LaTeX: structure and content extraction from scientific tables. Int. J. Document Anal. Recognit. 26(2): 121-130 (2023) - [c47]Rahul Gupta, Vivek Srivastava, Mayank Singh:
MUTANT: A Multi-sentential Code-mixed Hinglish Dataset. EACL (Findings) 2023: 732-741 - [c46]Pritam Kadasi, Mayank Singh:
Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance. EMNLP (Findings) 2023: 1371-1388 - [c45]Shivasankaran V. P, Muhammad Yusuf Hassan, Mayank Singh:
LineEX: Data Extraction from Scientific Line Charts. WACV 2023: 6202-6210 - [i45]Rahul Gupta, Vivek Srivastava, Mayank Singh:
MUTANT: A Multi-sentential Code-mixed Hinglish Dataset. CoRR abs/2302.11766 (2023) - [i44]Dwip Dalal, Vivek Srivastava, Mayank Singh:
MMT: A Multilingual and Multi-Topic Indian Social Media Dataset. CoRR abs/2304.00634 (2023) - [i43]Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee:
Modeling interdisciplinary interactions among Physics, Mathematics & Computer Science. CoRR abs/2309.10811 (2023) - [i42]Shruti Singh, Hitesh Lodwal, Husain Malwat, Rakesh Thakur, Mayank Singh:
Unlocking Model Insights: A Dataset for Automated Model Card Generation. CoRR abs/2309.12616 (2023) - [i41]Pritam Kadasi, Mayank Singh:
Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance. CoRR abs/2310.14572 (2023) - 2022
- [c44]Shruti Singh, Mayank Singh:
The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-through. ACL (Findings) 2022: 3153-3173 - [c43]Harsh M. Patel, Praveen Venkatesh, Shivam Sahni, Varun Jain, Mrinal Anand, Mayank Singh:
Program Synthesis: Does Feedback Help? COMAD/CODS 2022: 310-311 - [c42]Gaurav Viramgami, Hitarth Gandhi, Hrushti Naik, Nipun Mahajan, Praveen Venkatesh, Shivam Sahni, Mayank Singh:
Indian Classical Music Synthesis. COMAD/CODS 2022: 322-323 - [c41]Vivek Srivastava, Mayank Singh:
Code-Mixed NLG: Resources, Metrics, and Challenges. COMAD/CODS 2022: 328-332 - [c40]Ayush Kumar, Dhyey Jani, Jay Shah, Devanshu Thakar, Varun Jain, Mayank Singh:
The Bull and the Bear: Summarizing Stock Market Discussions. LREC 2022: 6909-6913 - [c39]Vivek Srivastava, Mayank Singh:
Overview and Results of MixMT Shared-Task at WMT 2022. WMT 2022: 806-811 - [i40]Shruti Singh, Mayank Singh:
The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-through. CoRR abs/2203.15364 (2022) - [i39]Pratik Kayal, Mrinal Anand, Harsh Desai, Mayank Singh:
Tables to LaTeX: structure and content extraction from scientific tables. CoRR abs/2210.17246 (2022) - 2021
- [j7]Nidhin Harilal, Mayank Singh, Udit Bhatia:
Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections. IEEE Access 9: 25208-25218 (2021) - [j6]Rishiraj Adhikary, Zeel B. Patel, Tanmay Srivastava, Nipun Batra, Mayank Singh, Udit Bhatia, Sarath Guttikunda:
Vartalaap: What Drives #AirQuality Discussions: Politics, Pollution or Pseudo-science? Proc. ACM Hum. Comput. Interact. 5(CSCW1): 96:1-96:29 (2021) - [c38]Viraj Shah, Shruti Singh, Mayank Singh:
TweeNLP: A Twitter Exploration Portal for Natural Language Processing. ACL (demo) 2021: 265-271 - [c37]Vivek Srivastava, Mayank Singh:
Challenges and Limitations with the Metrics Measuring the Complexity of Code-Mixed Text. CALCS@NAACL 2021: 6-14 - [c36]Vivek Srivastava, Mayank Singh:
PoliWAM: An Exploration of a Large Scale Corpus of Political Discussions on WhatsApp Messenger. W-NUT 2021: 120-130 - [c35]Aarchi Agrawal, Athulkumar R, K. S. Ashin Shanly, Kavita Vaishnaw, Mayank Singh:
Reverse Dictionary Using an Improved CBoW Model. COMAD/CODS 2021: 420 - [c34]Ronak Kaoshik, Rohit Patil, Prakash R, Shaurya Agarawal, Naman Jain, Mayank Singh:
ACL-SQL: Generating SQL Queries from Natural Language. COMAD/CODS 2021: 423 - [c33]Mohamed Shamir, Arpit Kaushal, Kalyan Reddy, Kavita Vaishnaw, Mayank Singh:
Review Based Recommendations with Human-like Reasons. COMAD/CODS 2021: 429 - [c32]Mihir Jain, Tanmay Sharma, Aman, Shruti Singh, Mayank Singh:
Genealogical Tree Construction of Research Paper. COMAD/CODS 2021: 435 - [c31]Ayush Garg, Sammed S. Kagi, Vivek Srivastava, Mayank Singh:
MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation. Eval4NLP 2021: 123-132 - [c30]Vivek Srivastava, Mayank Singh:
HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text. Eval4NLP 2021: 200-208 - [c29]Harsh Desai, Pratik Kayal, Mayank Singh:
TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables. ICDAR (2) 2021: 554-569 - [c28]Pratik Kayal, Mrinal Anand, Harsh Desai, Mayank Singh:
ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX. ICDAR (4) 2021: 754-766 - [c27]Vivek Srivastava, Mayank Singh:
Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text. INLG 2021: 314-319 - [c26]Shruti Singh, Mayank Singh, Pawan Goyal:
COMPARE: A Taxonomy and Dataset of Comparison Discussions in Peer Reviews. JCDL 2021: 238-241 - [c25]Naman Jain, Mayank Singh:
TweetPap: A Dataset to Study the Social Media Discourse of Scientific Papers. JCDL 2021: 328-329 - [i38]Harsh Desai, Pratik Kayal, Mayank Singh:
TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables. CoRR abs/2105.06400 (2021) - [i37]Akhilesh Ravi, Amit Kumar Singh Yadav, Jainish Chauhan, Jatin Dholakia, Naman Jain, Mayank Singh:
SentEmojiBot: Empathising Conversations Generation with Emojis. CoRR abs/2105.12399 (2021) - [i36]Pratik Kayal, Mrinal Anand, Harsh Desai, Mayank Singh:
ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX. CoRR abs/2105.14426 (2021) - [i35]Naman Jain, Mayank Singh:
TweetPap: A Dataset to Study the Social Media Discourse of Scientific Papers. CoRR abs/2106.07213 (2021) - [i34]Vivek Srivastava, Mayank Singh:
Challenges and Considerations with Code-Mixed NLP for Multilingual Societies. CoRR abs/2106.07823 (2021) - [i33]Vivek Srivastava, Mayank Singh:
Challenges and Limitations with the Metrics Measuring the Complexity of Code-Mixed Text. CoRR abs/2106.10123 (2021) - [i32]Viraj Shah, Shruti Singh, Mayank Singh:
TweeNLP: A Twitter Exploration Portal for Natural Language Processing. CoRR abs/2106.10512 (2021) - [i31]Mrinal Anand, Pratik Kayal, Mayank Singh:
On Adversarial Robustness of Synthetic Code Generation. CoRR abs/2106.11629 (2021) - [i30]Vivek Srivastava, Mayank Singh:
HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text. CoRR abs/2107.03760 (2021) - [i29]Ayush Garg, Sammed S. Kagi, Vivek Srivastava, Mayank Singh:
MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation. CoRR abs/2107.11534 (2021) - [i28]Vivek Srivastava, Mayank Singh:
Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text. CoRR abs/2108.01861 (2021) - [i27]Shruti Singh, Mayank Singh, Pawan Goyal:
COMPARE: A Taxonomy and Dataset of Comparison Discussions in Peer Reviews. CoRR abs/2108.04366 (2021) - 2020
- [j5]Pradumn Kumar Pandey, Mayank Singh, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Analysis of reference and citation copying in evolving bibliographic networks. J. Informetrics 14(1): 101003 (2020) - [j4]Pradumn Kumar Pandey, Mayank Singh:
Quantifying Nonrandomness in Evolving Networks. IEEE Trans. Comput. Soc. Syst. 7(6): 1447-1459 (2020) - [c24]Vivek Srivastava, Mayank Singh:
PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation. W-NUT@EMNLP 2020: 41-49 - [c23]Heer Ambavi, Kavita Vaishnaw, Udit Vyas, Abhisht Tiwari, Mayank Singh:
CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information. CIKM 2020: 3365-3368 - [c22]Pratik Kayal, Mayank Singh, Pawan Goyal:
Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification. COMAD/CODS 2020: 239-243 - [c21]Mayank Singh, Arindam Pal, Lipika Dey, Animesh Mukherjee:
Innovation and Revenue: Deep Diving into the Temporal Rank-shifts of Fortune 500 Companies. COMAD/CODS 2020: 268-274 - [c20]Monarch Parmar, Naman Jain, Pranjali Jain, P. Jayakrishna Sahit, Soham Pachpande, Shruti Singh, Mayank Singh:
NLPExplorer: Exploring the Universe of NLP Papers. ECIR (2) 2020: 476-480 - [c19]Jagriti Jalal, Mayank Singh, Arindam Pal, Lipika Dey, Animesh Mukherjee:
Identification, Tracking and Impact: Understanding the Trade Secret of Catchphrases. JCDL 2020: 67-76 - [c18]Manas Satish Bedmutha, Kaushal Modi, Kevin Patel, Naman Jain, Mayank Singh:
PredCheck: Detecting Predatory Behaviour in Scholarly World. JCDL 2020: 521-522 - [c17]Ayush Garg, Sammed Shantinath Kagi, Mayank Singh:
SEAL: Scientific Keyphrase Extraction and Classification. JCDL 2020: 527-528 - [c16]Sayantan Adak, Atharva Vyas, Animesh Mukherjee, Heer Ambavi, Pritam Kadasi, Mayank Singh, Shivam Patel:
Gandhipedia: A One-stop AI-enabled Portal for Browsing Gandhian Literature, Life-events and His Social Network. JCDL 2020: 539-540 - [c15]Vivek Srivastava, Mayank Singh:
IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection. SemEval@COLING 2020: 1259-1264 - [i26]Vivek Srivastava, Mayank Singh:
PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation. CoRR abs/2004.09447 (2020) - [i25]Mayank Singh, Arindam Pal, Lipika Dey, Animesh Mukherjee:
Innovation and Revenue: Deep Diving into the Temporal Rank-shifts of Fortune 500 Companies. CoRR abs/2004.09715 (2020) - [i24]Ayush Garg, Sammed Shantinath Kagi, Mayank Singh:
SEAL: Scientific Keyphrase Extraction and Classification. CoRR abs/2006.03292 (2020) - [i23]Sayantan Adak, Atharva Vyas, Animesh Mukherjee, Heer Ambavi, Pritam Kadasi, Mayank Singh, Shivam Patel:
Gandhipedia: A one-stop AI-enabled portal for browsing Gandhian literature, life-events and his social network. CoRR abs/2006.03316 (2020) - [i22]Vivek Srivastava, Mayank Singh:
IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection. CoRR abs/2006.14465 (2020) - [i21]Naman Jain, Ankush Chauhan, Atharva Chewale, Ojas Mithbavkar, Ujjaval Shah, Mayank Singh:
Bollyrics: Automatic Lyrics Generator for Romanised Hindi. CoRR abs/2007.12916 (2020) - [i20]Jagriti Jalal, Mayank Singh, Arindam Pal, Lipika Dey, Animesh Mukherjee:
Identification, Tracking and Impact: Understanding the trade secret of catchphrases. CoRR abs/2007.13520 (2020) - [i19]Nidhin Harilal, Udit Bhatia, Mayank Singh:
Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections. CoRR abs/2009.11279 (2020) - [i18]Vivek Srivastava, Mayank Singh:
PoliWAM: An Exploration of a Large Scale Corpus of Political Discussions on WhatsApp Messenger. CoRR abs/2010.13263 (2020) - [i17]Heer Ambavi, Kavita Vaishnaw, Udit Vyas, Abhisht Tiwari, Mayank Singh:
CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information. CoRR abs/2011.14618 (2020)
2010 – 2019
- 2019
- [c14]Mayank Singh, Rajdeep Sarkar, Atharva Vyas, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Automated Early Leaderboard Generation from Comparative Tables. ECIR (1) 2019: 244-257 - [c13]Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee:
The Rise and Rise of Interdisciplinary Research: Understanding the Interaction Dynamics of Three Major Fields - Physics, Mathematics and Computer Science. ICADL 2019: 71-77 - [c12]Naman Jain, Mayank Singh:
The Evolving Ecosystem of Predatory Journals: A Case Study in Indian Perspective. ICADL 2019: 78-92 - [c11]Heer Ambavi, Ayush Garg, Ayush Garg, Mridul Sharma, Nitiksha, Rohit Sharma, Jayesh Choudhari, Mayank Singh:
BioGen: Automated Biography Generation. JCDL 2019: 21-24 - [c10]Arik Pamnani, Rajat Goel, Jayesh Choudhari, Mayank Singh:
IIT Gandhinagar at SemEval-2019 Task 3: Contextual Emotion Detection Using Deep Learning. SemEval@NAACL-HLT 2019: 236-240 - [i16]Naman Jain, Mayank Singh:
The Evolving Ecosystem of Predatory Journals: A Case Study in Indian Perspective. CoRR abs/1906.06856 (2019) - [i15]Heer Ambavi, Ayush Garg, Ayush Garg, Nitiksha, Mridul Sharma, Rohit Sharma, Jayesh Choudhari, Mayank Singh:
BioGen: Automated Biography Generation. CoRR abs/1906.11405 (2019) - [i14]Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee:
The rise and rise of interdisciplinary research: Understanding the interaction dynamics of three major fields - Physics, Mathematics & Computer Science. CoRR abs/1908.03793 (2019) - [i13]Monarch Parmar, Naman Jain, Pranjali Jain, P. Jayakrishna Sahit, Soham Pachpande, Shruti Singh, Mayank Singh:
NLPExplorer: Exploring the Universe of NLP Papers. CoRR abs/1910.07351 (2019) - [i12]Pratik Kayal, Mayank Singh, Pawan Goyal:
Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification. CoRR abs/1910.13425 (2019) - [i11]Pradumn Kumar Pandey, Mayank Singh, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Analysis of Reference and Citation Copying in Evolving Bibliographic Networks. CoRR abs/1912.11894 (2019) - 2018
- [j3]Mayank Singh:
Understanding Popularity of Academic Entities: From Papers to Authors to Venues. Bull. IEEE Tech. Comm. Digit. Libr. 14(1) (2018) - [c9]Mayank Singh, Pradeep Dogga, Sohan Patro, Dhiraj Barnwal, Ritam Dutt, Rajarshi Haldar, Pawan Goyal, Animesh Mukherjee:
CL Scholar: The ACL Anthology Knowledge Graph Miner. NAACL-HLT (Demonstrations) 2018: 16-20 - [i10]Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Ranking State-of-the-art Papers via Incomplete Tournaments Induced by Citations from Performance Tables. CoRR abs/1802.04538 (2018) - [i9]Mayank Singh, Pradeep Dogga, Sohan Patro, Dhiraj Barnwal, Ritam Dutt, Rajarshi Haldar, Pawan Goyal, Animesh Mukherjee:
CL Scholar: The ACL Anthology Knowledge Graph Miner. CoRR abs/1804.05514 (2018) - 2017
- [c8]Mayank Singh, Soham Dan, Sanyam Agarwal, Pawan Goyal, Animesh Mukherjee:
AppTechMiner: Mining Applications and Techniques from Scientific Articles. WOSP@JCDL 2017: 1-8 - [c7]Mayank Singh, Ajay Jaiswal, Priya Shree, Arindam Pal, Animesh Mukherjee, Pawan Goyal:
Understanding the Impact of Early Citers on Long-Term Scientific Impact. JCDL 2017: 59-68 - [c6]Mayank Singh, Abhishek Niranjan, Divyansh Gupta, Nikhil Angad Bakshi, Animesh Mukherjee, Pawan Goyal:
Citation Sentence Reuse Behavior of Scientists: A Case Study on Massive Bibliographic Text Dataset of Computer Science. JCDL 2017: 277-280 - [c5]Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Relay-Linking Models for Prominence and Obsolescence in Evolving Networks. KDD 2017: 1077-1086 - [i8]Mayank Singh, Abhishek Niranjan, Divyansh Gupta, Nikhil Angad Bakshi, Animesh Mukherjee, Pawan Goyal:
Citation sentence reuse behavior of scientists: A case study on massive bibliographic text dataset of computer science. CoRR abs/1705.02499 (2017) - [i7]Mayank Singh, Ajay Jaiswal, Priya Shree, Arindam Pal, Animesh Mukherjee, Pawan Goyal:
Understanding the Impact of Early Citers on Long-Term Scientific Impact. CoRR abs/1705.03178 (2017) - [i6]Sanyam Agarwal, Mayank Singh, Soham Dan, Pawan Goyal, Animesh Mukherjee:
AppTechMiner: Mining Applications and Techniques from Scientific Articles. CoRR abs/1709.03064 (2017) - 2016
- [j2]Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization. J. Informetrics 10(4): 1005-1022 (2016) - [c4]Mayank Singh, Barnopriyo Barua, Priyank Palod, Manvi Garg, Sidhartha Satapathy, Samuel Bushi, Kumar Ayush, Krishna Sai Rohith, Tulasi Gamidi, Pawan Goyal, Animesh Mukherjee:
OCR++: A Robust Framework For Information Extraction from Scholarly Articles. COLING 2016: 3390-3400 - [c3]Tanmoy Chakraborty, Amrith Krishna, Mayank Singh, Niloy Ganguly, Pawan Goyal, Animesh Mukherjee:
FeRoSA: A Faceted Recommendation System for Scientific Articles. PAKDD (2) 2016: 528-541 - [i5]Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization. CoRR abs/1608.01101 (2016) - [i4]Soham Dan, Sanyam Agarwal, Mayank Singh, Pawan Goyal, Animesh Mukherjee:
Which techniques does your application use?: An information extraction framework for scientific articles. CoRR abs/1608.06386 (2016) - [i3]Mayank Singh, Barnopriyo Barua, Priyank Palod, Manvi Garg, Sidhartha Satapathy, Samuel Bushi, Kumar Ayush, Krishna Sai Rohith, Tulasi Gamidi, Pawan Goyal, Animesh Mukherjee:
OCR++: A Robust Framework For Information Extraction from Scholarly Articles. CoRR abs/1609.06423 (2016) - [i2]Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Relay-Linking Models for Prominence and Obsolescence in Evolving Networks. CoRR abs/1609.08371 (2016) - 2015
- [j1]Mayank Singh, Soumajit Pramanik, Tanmoy Chakraborty:
PubIndia: A Framework for Analyzing Indian Research Publications in Computer Science. D Lib Mag. 21(11/12) (2015) - [c2]Mayank Singh, Vikas Patidar, Suhansanu Kumar, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
The Role Of Citation Context In Predicting Long-Term Citation Profiles: An Experimental Study Based On A Massive Bibliographic Text Dataset. CIKM 2015: 1271-1280 - [c1]Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
ConfAssist: A Conflict Resolution Framework for Assisting the Categorization of Computer Science Conferences. JCDL 2015: 257-258 - [i1]Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Sic Transit Gloria Manuscriptum: Two Views of the Aggregate Fate of Ancient Papers. CoRR abs/1511.08310 (2015)
Coauthor Index
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