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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 12 of 12 1 Deep analysis in aggressive Mexican tweets Simona Frenda; Somnath Banerjee. - : Ceur Workshop Proceedings, 2018. : country:ESP, 2018. : place:Sevilla, 2018 BASE Show details 2 Learning to rank for quantity consensus queries Somnath Banerjee; Soumen Chakrabarti; Ganesh Ramakrishnan In: http://www.cc.gatech.edu/~zha/CSE8801/learning-to-rank/p243-banerjee.pdf (2009) BASE Show details 3 Automatic Author Profiling Based on Linguistic and Stylistic Features Notebook for PAN at CLEF 2013 Braja Gopal Patra; Somnath Banerjee; Dipankar Das... In: http://ceur-ws.org/Vol-1179/CLEF2013wn-PAN-PatraEt2013.pdf BASE Show details 4 Bengali Question Classification: Towards Developing QA System ABSTRACT Somnath Banerjee; Sivaji Bandyopadhyay In: http://www.aclweb.org/anthology/W/W12/W12-5003.pdf Abstract: This paper demonstrates the question classification step towards building a question answering system in Bengali. Bengali is an eastern Indo-Aryan language with about 230 million total speakers and one of the most spoken languages in the world. An important first step in developing a question answering system is to classify natural language question properly. In this work, we have studied suitable lexical, syntactic and semantic features to classify the Bengali question. As Bengali question classification is at early stage of development, so for simplicity we have proposed single-layer taxonomy which consists of only nine course-grained classes. We have also studied and categorized the interrogatives in Bengali language. The proposed automated classification work is based on various machine learning techniques. The baseline system based on Naïve Bayes classifier has achieved 80.65 % accuracy. We have achieved up to 87.63 % accuracy using decision tree classifier. Keyword: Bengali Question Classification; Machine Learning; Question Classification URL: http://www.aclweb.org/anthology/W/W12/W12-5003.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.361.9450 BASE Hide details 5 Learning to Rank for Quantity Consensus Queries Somnath Banerjee; Soumen Chakrabarti; Ganesh Ramakrishnan In: http://www.cse.iitb.ac.in/~soumen/doc/sigir2009q/QCQ.pdf BASE Show details 6 Bengali Verb Subcategorization Frame Acquisition- A Baseline Model Somnath Banerjee; Dipankar Das; Sivaji Bandyopadhyay In: http://aclweb.org/anthology-new/W/W09/W09-3411.pdf BASE Show details 7 2012 Pinaki Bhaskar; Partha Pakray; Somnath Banerjee... In: http://www.gelbukh.com/CV/Publications/2012/Question Answering System for QA4MRE@CLEF 2012.pdf BASE Show details 8 A Hybrid Question Answering System based on Information Retrieval and Answer Validation Partha Pakray; Pinaki Bhaskar; Somnath Banerjee... In: http://www.gelbukh.com/CV/Publications/2011/Pakray_Clef2011.pdf BASE Show details 9 Tweet Contextualization (Answering Tweet Question) – the Role of Multi-document Summarization Pinaki Bhaskar; Somnath Banerjee; Sivaji B In: http://ceur-ws.org/Vol-1179/CLEF2013wn-INEX-BhaskarEt2013.pdf BASE Show details 10 Question Classification and Answering from Procedural Text in English ABSTRACT Somnath Banerjee; Sivaji Bandyopadhyay In: http://www.aclweb.org/anthology/W/W12/W12-6002.pdf BASE Show details 11 Multiple Choice Question (MCQ) Answering System for Entrance Examination Somnath Banerjee; Pinaki Bhaskar; Partha Pakray... In: http://www.clef-initiative.eu/documents/71612/f39a1aa7-1946-4015-8732-3f22ef2d5560/ BASE Show details 12 A Hybrid Tweet Contextualization System using IR and Summarization Pinaki Bhaskar; Somnath Banerjee; Sivaji B In: http://www.clef-initiative.eu/documents/71612/54d904de-a4b7-4107-9e99-44b315725e5c/ BASE Show details

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