Knowledge Based Approaches To Nepali Word Sense Disambiguation
نویسندگان
چکیده
منابع مشابه
Knowledge Based Approaches to Nepali Word Sense Disambiguation
A word may have multiple senses and the challenge is to find out which particular sense is appropriate in a given context. Word sense disambiguation(WSD) resolves this ambiguity by finding out which particular sense of a word is appropriate in a given context. WSD is of critical importance in the areas of machine translation, information retrieval, speech processing etc. In this paper we presen...
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Removing ambiguous meaning of a word has been an extensive area of research in the field of computational linguistics. This paper presents a comprehensive study of the different dictionary approaches to Word Sense Disambiguation. Three approaches have been explored; graph based, ontology based and knowledge based. All the approaches use a corpus to evaluate words unlike in a machine learning ap...
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In this paper, we develop a new way of creating sense vectors for any dictionary, by using an existing word embeddings model, and summing the vectors of the terms inside a sense’s definition, weighted in function of their part of speech and their frequency. These vectors are then used for finding the closest senses to any other sense, thus creating a semantic network of related concepts, automa...
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Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural language processing (NLP). Hundreds of WSD algorithms and systems are available, but less work has been done in regard to choosing the optimal WSD algorithms. This paper summarizes the various knowledge sources used for WSD and classifies existing WSD algorithms according to their techniques. The ra...
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ژورنال
عنوان ژورنال: International Journal on Natural Language Computing
سال: 2014
ISSN: 2319-4111,2278-1307
DOI: 10.5121/ijnlc.2014.3305