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ORCIDSudip Kumar Naskar
- > Home > Persons > Sudip Kumar Naskar
Publications
- 2020
[j13]Somnath Banerjee
, Monojit Choudhury, Kunal Chakma, Sudip Kumar Naskar, Amitava Das, Sivaji Bandyopadhyay, Paolo Rosso:
MSIR@FIRE: A Comprehensive Report from 2013 to 2016. SN Comput. Sci. 1(1): 55 (2020)- [i3]Somnath Banerjee, Sudip Kumar Naskar, Paolo Rosso, Sivaji Bandyopadhyay:
Classifier Combination Approach for Question Classification for Bengali Question Answering System. CoRR abs/2008.13597 (2020) - 2018
- [j6]Somnath Banerjee, Sudip Kumar Naskar, Paolo Rosso, Sivaji Bandyopadhyay:
Code mixed cross script factoid question classification - A deep learning approach. J. Intell. Fuzzy Syst. 34(5): 2959-2969 (2018) - [c72]Amitrajit Sarkar, Surajit Dasgupta, Sudip Kumar Naskar, Sivaji Bandyopadhyay:
Says Who? Deep Learning Models for Joint Speech Recognition, Segmentation and Diarization. ICASSP 2018: 5229-5233 - 2017
- [j5]Somnath Banerjee, Sudip Kumar Naskar, Paolo Rosso, Sivaji Bandyopadhyay:
Named Entity Recognition on Code-Mixed Cross-Script Social Media Content. Computación y Sistemas 21(4) (2017) - [c69]Tanik Saikh, Sudip Kumar Naskar, Asif Ekbal, Sivaji Bandyopadhyay:
Textual Entailment Using Machine Translation Evaluation Metrics. CICLing (1) 2017: 317-328 - 2016
- [c57]Somnath Banerjee, Sudip Kumar Naskar, Paolo Rosso, Sivaji Bandyopadhyay:
The First Cross-Script Code-Mixed Question Answering Corpus. MultiLingMine@ECIR 2016: 56-65 - [c56]Somnath Banerjee, Kunal Chakma, Sudip Kumar Naskar, Amitava Das, Paolo Rosso, Sivaji Bandyopadhyay, Monojit Choudhury:
Overview of the Mixed Script Information Retrieval (MSIR) at FIRE-2016. FIRE Workshop 2016: 39-49 - [c55]Surajit Dasgupta, Abhash Kumar, Dipankar Das, Sudip Kumar Naskar, Sivaji Bandyopadhyay:
Word Embeddings for Information Extraction from Tweets. FIRE (Working Notes) 2016: 71-73 - [c54]Somnath Banerjee, Kunal Chakma, Sudip Kumar Naskar, Amitava Das, Paolo Rosso, Sivaji Bandyopadhyay, Monojit Choudhury:
Overview of the Mixed Script Information Retrieval (MSIR) at FIRE-2016. FIRE (Working Notes) 2016: 94-99 - [c53]Tanik Saikh, Sudip Kumar Naskar, Sivaji Bandyopadhyay:
JU_NLP@DPIL-FIRE2016: Paraphrase Detection in Indian Languages - A Machine Learning Approach. FIRE (Working Notes) 2016: 275-278 - [c51]Joy Mahapatra, Sudip Kumar Naskar, Sivaji Bandyopadhyay:
Statistical Natural Language Generation from Tabular Non-textual Data. INLG 2016: 143-152 - [c49]Koushik Pahari, Alapan Kuila, Santanu Pal, Sudip Kumar Naskar, Sivaji Bandyopadhyay, Josef van Genabith:
JU-USAAR: A Domain Adaptive MT System. WMT 2016: 442-448 - 2015
- [c48]Tanik Saikh, Sudip Kumar Naskar, Chandan Giri, Sivaji Bandyopadhyay:
Textual Entailment Using Different Similarity Metrics. CICLing (1) 2015: 491-501 - [c47]Royal Sequiera, Monojit Choudhury, Parth Gupta, Paolo Rosso, Shubham Kumar, Somnath Banerjee, Sudip Kumar Naskar, Sivaji Bandyopadhyay, Gokul Chittaranjan, Amitava Das, Kunal Chakma:
Overview of FIRE-2015 Shared Task on Mixed Script Information Retrieval. FIRE Workshops 2015: 19-25 - [c46]Soumik Mandal, Somnath Banerjee, Sudip Kumar Naskar, Paolo Rosso, Sivaji Bandyopadhyay:
Adaptive Voting in Multiple Classifier Systems for Word Level Language Identification. FIRE Workshops 2015: 47-50 - [c45]Sombuddha Choudhury, Somnath Banerjee, Sudip Kumar Naskar, Paolo Rosso, Sivaji Bandyopadhyay:
Entity Extraction from Social Media using Machine Learning Approaches. FIRE Workshops 2015: 103-106 - 2014
- [c37]Somnath Banerjee, Alapan Kuila, Aniruddha Roy, Sudip Kumar Naskar, Paolo Rosso, Sivaji Bandyopadhyay:
A Hybrid Approach for Transliterated Word-Level Language Identification: CRF with Post-Processing Heuristics. FIRE 2014: 54-59 - [c35]Santanu Pal, Braja Gopal Patra, Dipankar Das, Sudip Kumar Naskar, Sivaji Bandyopadhyay, Josef van Genabith:
How Sentiment Analysis Can Help Machine Translation. ICON 2014: 89-94 - [c34]Santanu Pal, Sudip Kumar Naskar, Sivaji Bandyopadhyay:
Word Alignment-Based Reordering of Source Chunks in PB-SMT. LREC 2014: 3565-3571 - [c33]Somnath Banerjee, Pintu Lohar, Sudip Kumar Naskar, Sivaji Bandyopadhyay:
The First Resource for Bengali Question Answering Research. PolTAL 2014: 290-297 - [c32]Somnath Banerjee, Sudip Kumar Naskar, Sivaji Bandyopadhyay:
Bengali Named Entity Recognition Using Margin Infused Relaxed Algorithm. TSD 2014: 125-132 - [c31]Somnath Banerjee, Sudip Kumar Naskar, Sivaji Bandyopadhyay:
BFQA: A Bengali Factoid Question Answering System. TSD 2014: 217-224 - 2013
- [c29]Santanu Pal, Sudip Kumar Naskar, Sivaji Bandyopadhyay:
A Hybrid Word Alignment Model for Phrase-Based Statistical Machine Translation. HyTra@ACL 2013: 94-101 - [c27]Santanu Pal, Sudip Kumar Naskar, Sivaji Bandyopadhyay:
MWE Alignment in Phrase Based Statistical Machine Translation. MTSummit 2013 - 2010
- [c15]Santanu Pal, Sudip Kumar Naskar, Pavel Pecina, Sivaji Bandyopadhyay, Andy Way:
Handling Named Entities and Compound Verbs in Phrase-Based Statistical Machine Translation. MWE@COLING 2010: 46-54 - 2008
- [c7]Sivaji Bandyopadhyay, Tapabrata Mondal, Sudip Kumar Naskar, Asif Ekbal, Rejwanul Haque, Srinivasa Rao Godhavarthy:
Bengali, Hindi and Telugu to English Ad-hoc Bilingual Task. IJCNLP 2008: 66 - 2007
- [j1]Asif Ekbal, Sudip Kumar Naskar, Sivaji Bandyopadhyay:
Named Entity Transliteration. Int. J. Comput. Process. Orient. Lang. 20(4): 289-310 (2007) - [c6]Sivaji Bandyopadhyay, Tapabrata Mondal, Sudip Kumar Naskar, Asif Ekbal, Rejwanul Haque, Srinivasa Rao Godhavarthy:
Bengali, Hindi and Telugu to English Ad-Hoc Bilingual Task at CLEF 2007. CLEF 2007: 88-94 - [c5]Sivaji Bandyopadhyay, Tapabrata Mondal, Sudip Kumar Naskar, Asif Ekbal, Rejwanul Haque, Srinivasa Rao Godhavarthy:
Bengali, Hindi and Telugu to English Ad-hoc Bilingual Task at CLEF 2007. CLEF (Working Notes) 2007 - [c4]Sudip Kumar Naskar, Sivaji Bandyopadhyay:
Word Sense Disambiguation Using Extended WordNet. ICCTA 2007: 446-450 - [c3]Asif Ekbal, Sudip Kumar Naskar, Sivaji Bandyopadhyay:
Language Independent Named Entity Transliteration. IICAI 2007: 1936-1950 - [c2]Sudip Kumar Naskar, Sivaji Bandyopadhyay:
JU-SKNSB: Extended WordNet Based WSD on the English All-Words Task at SemEval-1. SemEval@ACL 2007: 203-206 - 2006
- [c1]Asif Ekbal, Sudip Kumar Naskar, Sivaji Bandyopadhyay:
A Modified Joint Source-Channel Model for Transliteration. ACL 2006
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