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This paper deals about the Name Entity Recognition (NER) of Manipuri, a highly agglutinative Indian Language. This language is an Eight Scheduled Language of Indian Constitution. NER plays an important role in the applications of Natural Language Processing like Machine Translation, Part of Speech tagging, Information Retrieval, Question Answering etc. Feature selection is an important factor in recognition...
Temporal information extraction is a popular and interesting research field in the area of Natural Language Processing (NLP). The main tasks involve the identification of event-time, event-document creation time and event-event relations in a text. In this paper, we take up Task C that involves identification of relations between the events in adjacent sentences under the TimeML framework. We use...
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 disambiguation. We present a measure for sense assignment useful for the simple Lesk algorithm. We use word co-occurrences of the gloss and the context,...
Real-world applications have to take into consideration both topics and sentiments for precise opinion measurement. Topic and sentiment alignment is crucial for opinion retrieval, extraction, categorization, and aggregation on various issues. In this paper, we have reported a Monolingual Event (or, topic) tracking system for Bengali. The system has been developed based on a newspaper corpus developed...
Work in opinion mining and classification often assumes the incoming documents to be opinionated. Opinion mining system makes false hits while attempting to compute polarity values for non-subjective or factual sentences or documents. It becomes imperative to decide whether a given document contains subjective information or not as well as to identify which portions of the document are subjective...
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