Sivaji Bandyopadhyay
List of John Benjamins publications for which Sivaji Bandyopadhyay plays a role.
Articles
2014 Identifying Bengali Multiword Expressions using semantic clustering Lingvisticæ Investigationes 37:1, pp. 106–128 | Article
One of the key issues in both natural language understanding and generation is the appropriate processing of Multiword Expressions (MWEs). MWEs pose a huge problem to the precise language processing due to their idiosyncratic nature and diversity in lexical, syntactical and semantic properties. The… read more
2014 Named entity recognition in Bengali using system combination Lingvisticæ Investigationes 37:1, pp. 1–22 | Article
This paper reports a voted Named Entity Recognition (NER) system that exploits appropriate unlabeled data. Initially, we develop NER systems using the supervised machine learning algorithms such as Maximum Entropy (ME), Conditional Random Field (CRF) and Support Vector Machine (SVM). Each of these… read more
2011 Named entity recognition in Bengali and Hindi using support vector machine Lingvisticæ Investigationes 34:1, pp. 35–67 | Article
Named Entity Recognition (NER) aims to classify each word of a document into predefined target named entity (NE) classes and is nowadays considered to be fundamental for many Natural Language Processing (NLP) tasks such as information retrieval, machine translation, information extraction, question… read more
2009 Named Entity Recognition and transliteration in Bengali Named Entities: Recognition, classification and use, Sekine, Satoshi and Elisabete Ranchhod (eds.), pp. 97–116 | Article
2007 Named Entity Recognition and transliteration in Bengali Named Entities: Recognition, classification and use, Sekine, Satoshi and Elisabete Ranchhod (eds.), pp. 95–114 | Article
The paper reports about the development of a Named Entity Recognition (NER) system in Bengali using a tagged Bengali news corpus and the subsequent transliteration of the recognized Bengali Named Entities (NEs) into English. Three different models of the NER have been developed. A semi-supervised… read more