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Displaying 1-11 out of 11 total
Bengali Named Entity Recognition Using Classifier Combination
Found in: Advances in Pattern Recognition, International Conference on
By Asif Ekbal, Sivaji Bandyopadhyay
Issue Date:February 2009
pp. 259-262
This paper reports about the development of a Named Entity Recognition (NER) system for Bengali by combining the outputs of the classifiers like Maximum Entropy (ME), Conditional Random Field (CRF) and Support Vector Machine(SVM) using a majority voting ap...
 
Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining
Found in: IEEE Intelligent Systems
By Soujanya Poria,Alexander Gelbukh,Amir Hussain,Newton Howard,Dipankar Das,Sivaji Bandyopadhyay
Issue Date:March 2013
pp. 31-38
SenticNet 1.0 is one of the most widely used, publicly available resources for concept-based opinion mining. The presented methodology enriches SenticNet concepts with affective information by assigning an emotion label.
 
Enriching SenticNet Polarity Scores through Semi-Supervised Fuzzy Clustering
Found in: 2012 IEEE 12th International Conference on Data Mining Workshops
By Soujanya Poria,Alexander Gelbukh,Erik Cambria,Dipankar Das,Sivaji Bandyopadhyay
Issue Date:December 2012
pp. 709-716
SenticNet 1.0 is one of the most widely used freely-available resources for concept-level opinion mining, containing about 5,700 common sense concepts and their corresponding polarity scores. Specific affective information associated to such concepts, howe...
 
Dependency Parser Based Textual Entailment System
Found in: Artificial Intelligence and Computational Intelligence, International Conference on
By Partha Pakray, Sivaji Bandyopadhyay, Alexander Gelbukh
Issue Date:October 2010
pp. 393-397
The development of a parser based textual entailment system that is based on comparing the dependency relations in both the text and the hypothesis has been reported. The textual entailment system uses the CCG Parser and the Stanford Parser. The Dependency...
 
Opinion Summarization in Bengali: A Theme Network Model
Found in: Social Computing / IEEE International Conference on Privacy, Security, Risk and Trust, 2010 IEEE International Conference on
By Amitava Das, Sivaji Bandyopadhyay
Issue Date:August 2010
pp. 675-682
No summary available.
 
Web-Based Variant of the Lesk Approach to Word Sense Disambiguation
Found in: Mexican International Conference on Artificial Intelligence
By Miguel Ángel Ríos Gaona, Alexander Gelbukh, Sivaji Bandyopadhyay
Issue Date:November 2009
pp. 103-107
Word Sense Disambiguation (WSD) is the task of selecting the meaning of a word based on the context in which the word occurs. The principal statistical WSD approaches are supervised and unsupervised learning. The Lesk method is an example of unsupervised d...
 
Part of Speech Tagging in Bengali Using Support Vector Machine
Found in: Information Technology, International Conference on
By Asif Ekbal, Sivaji Bandyopadhyay
Issue Date:December 2008
pp. 106-111
Part of Speech (POS) tagging is the task of labeling each word in a sentence with its appropriate syntactic category called part of speech. POS tagging is a very important preprocessing task for language processing activities. This paper reports about task...
 
Word Sense Disambiguation Using Extended WordNet
Found in: International Conference on Computing: Theory and Applications
By Sudip Kumar Naskar, Sivaji Bandyopadhyay
Issue Date:March 2007
pp. 446-450
In this paper we propose an Extended WordNet based word sense disambiguation algorithm for disambiguating nouns, verbs and adjectives. The algorithm is inspired by the Lesk algorithm and involves looking for overlaps between the context of a word in a sent...
 
Comparative & Evaluative QA system in tourism domain
Found in: Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology (CCSEIT '12)
By Bidhan Chandra Pal, Pinaki Bhaskar, Sivaji Bandyopadhyay
Issue Date:October 2012
pp. 458-465
Comparative or Evaluative questions are categorized as non-factoid questions where user asked to compare between entities (for comparative) based on some criteria and constraints or asked to evaluate certain criteria of the entities (for Evaluative). The a...
     
SVM based Manipuri POS tagging using SVM based identified reduplicated MWE (RMWE)
Found in: Proceedings of the CUBE International Information Technology Conference (CUBE '12)
By Kishorjit Nongmeikapam, Sivaji Bandyopadhyay
Issue Date:September 2012
pp. 272-277
The Reduplicated Multiword Expression (RMWE) is identified using Support Vector Machine (SVM) and these identified RMWE is used as a feature for the SVM based POS tagging of Manipuri, which is a very highly agglutinative Indian Schedule Language. A common ...
     
Extracting emotion topics from blog sentences: use of voting from multi-engine supervised classifiers
Found in: Proceedings of the 2nd international workshop on Search and mining user-generated contents (SMUC '10)
By Dipankar Das, Sivaji Bandyopadhyay
Issue Date:October 2010
pp. 119-126
This paper presents a supervised multi-engine classifier approach followed by voting to identify emotion topic(s) from English blog sentences. Manual annotation of the English blog sentences in the training set has shown a satisfactory agreement with kappa...
     
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