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Kamal Sarkar

[email protected]_CodeMixed-2017: Sentiment Analysis for Indian Code Mixed Social Media Texts



Kamal Sarkar

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* Kamal Sarkar, [email protected]_CodeMixed-2017: Sentiment Analysis for Indian Code Mixed Social Media Texts, NLP Tool [email protected] 14th International Conference on Natural Language Processing, 2017 
 * NLP Tool Contest on Sentiment Analysis for Indian Languages (Code Mixed) held in conjunction with the 14th International Conference on Natural Language Processing, 2017 
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[email protected] 2016: Consumer Health Information Search



Kamal Sarkar , Debanjan Das , Indra Banerjee , Mamta Kumari , Prasenjit Biswas

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* 8th meeting of Forum for Information Retrieval Evaluation 2016, 2016 
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[email protected]:Detecting Paraphrases in Indian Languages Using Multinomial Logistic Regression Model



Kamal Sarkar

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* This work is awarded SPRINGER BEST PAPER AWARD, DPIL track @ 8th meeting of Forum for Information Retrieval Evaluation 2016, 2016 
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A CRF Based POS Tagger for Code-mixed Indian Social Media Text



Kamal Sarkar

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* This work is awarded the first prize in the NLP tool contest on "POS Tagging for Code-Mixed Indian Social Media Text", held in conjunction with the 13th International Conference on Natural Language Processing 2016(ICON 2016), Indian Institute of Technology (BHU), India 
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Part-of-Speech Tagging for Code-mixed Indian Social Media Text at ICON 2015



Kamal Sarkar

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* NLP Tool Contest on "POS Tagging For Code-mixed Indian Social Media Text" held in conjunction with International Conference on Natural Language Processing(ICON 2015). arXiv admin note: text overlap with arXiv:1512.03950, arXiv:1405.7397 
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A Hidden Markov Model Based System for Entity Extraction from Social Media English Text at FIRE 2015



Kamal Sarkar

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* FIRE 2015 Task:Entity Extraction from Social Media Text - Indian Languages (ESM-IL) - See more at: http://fire.irsi.res.in/fire/home#sthash.HpgiwjP5.dpuf. arXiv admin note: substantial text overlap with arXiv:1405.7397 
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An HMM Based Named Entity Recognition System for Indian Languages: The JU System at ICON 2013



Vivekananda Gayen , Kamal Sarkar

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* The ICON 2013 tools contest on Named Entity Recognition in Indian languages (IL) co-located with the 10th International Conference on Natural Language Processing(ICON), CDAC Noida, India,18-20 December, 2013 
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A Machine Learning Approach for the Identification of Bengali Noun-Noun Compound Multiword Expressions



Vivekananda Gayen , Kamal Sarkar

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* In Proceedings of ICON-2013: 10th International Conference on Natural Language Processing, pp 290-296 
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A Hybrid Approach to Extract Keyphrases from Medical Documents



Kamal Sarkar

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* International Journal of Computer Applications 63(18):14-19, February 2013. Published by Foundation of Computer Science, New York, USA 
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Bengali text summarization by sentence extraction



Kamal Sarkar

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* Proceedings of International Conference on Business and Information Management(ICBIM-2012),NIT Durgapur, PP 233-245 
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