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Language Independent Named Entity Recognition in Indian Languages
This paper reports about the development of a Named Entity Recognition (NER) system for South and South East Asian languages, particularly for Bengali, Hindi, Telugu, Oriya and Urdu as part of theExpand
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A Conditional Random Field Approach for Named Entity Recognition in Bengali and Hindi
This paper describes the development of Named Entity Recognition (NER) systems for two leading Indian languages, namely Bengali and Hindi, using the Conditional Random Field (CRF) framework. TheExpand
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Contextual Inter-modal Attention for Multi-modal Sentiment Analysis
Multi-modal sentiment analysis offers various challenges, one being the effective combination of different input modalities, namely text, visual and acoustic. In this paper, we propose a recurrentExpand
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Weighted Vote-Based Classifier Ensemble for Named Entity Recognition: A Genetic Algorithm-Based Approach
In this article, we report the search capability of Genetic Algorithm (GA) to construct a weighted vote-based classifier ensemble for Named Entity Recognition (NER). Our underlying assumption is thatExpand
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Named Entity Recognition in Bengali: A Conditional Random Field Approach
This paper reports about the development of a Named Entity Recognition (NER) system for Bengali using the statistical Conditional Random Fields (CRFs). The system makes use of the differentExpand
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A Modified Joint Source-Channel Model for Transliteration
Most machine transliteration systems transliterate out of vocabulary (OOV) words through intermediate phonemic mapping. A framework has been presented that allows direct orthographical mappingExpand
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IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis
Sentiment analysis has immense implications in modern businesses through user-feedback mining. Large product-based enterprises like Samsung and Apple make crucial business decisions based on theExpand
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Named Entity Recognition using Support Vector Machine: A Language Independent Approach
Named Entity Recognition (NER) aims to classify each word of a document into predefined target named entity classes and is now-a-days considered to be fundamental for many Natural Language ProcessingExpand
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Combining multiple classifiers using vote based classifier ensemble technique for named entity recognition
In this paper, we pose the classifier ensemble problem under single and multiobjective optimization frameworks, and evaluate it for Named Entity Recognition (NER), an important step in almost allExpand
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Bengali Named Entity Recognition Using Support Vector Machine
Named Entity Recognition (NER) aims to classify each word of a document into predefined target named entity classes and is nowadays considered to be fundamental for many Natural Language ProcessingExpand
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