Results 171 to 180 of about 19,142 (209)
Features extraction based on Naive Bayes algorithm and TF-IDF for news classification. [PDF]
PLoS OneZhang L.
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Collaboratively authored web contents as resources for word sense disambiguation and discovery
, 2010 openaire +1 more source
Named Entity Disambiguation for Resource-Poor Languages
Proceedings of the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval, 2015 Named entity disambiguation (NED) is the task of linking ambiguous names in natural language text to canonical entities like people, organizations or places, registered in a knowledge base. The problem is well-studied for English text, but few systems have considered resource-poor languages that lack comprehensive name-entity dictionaries, entity ...
Mohamed H. Gad-Elrab +2 more
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Keyword-Driven Resource Disambiguation over RDF Knowledge Bases
, 2013 Keyword search is the most popular way to access information. In this paper we introduce a novel approach for determining the correct resources for user-supplied queries based on a hidden Markov model. In our approach the user-supplied query is modeled as the observed data and the background knowledge is used for parameter estimation.
Saeedeh Shekarpour +2 more
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Effective Entity Disambiguation in Low-Resource Languages: A Study of Icelandic
2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2023 Valdimar Ágúst Eggertsson +3 more
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Word Sense Disambiguation: Adaptive Word Embedding with Adaptive-Lexical Resource
, 2023 Chandrakant D. Kokane +3 more
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Word sense disambiguation for low resource languages: setswana collocations
International Workshop on Signal Processing and Machine Learning (WSPML 2023), 2023 Boago Okgetheng +2 more
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Resources for Nepali Word Sense Disambiguation
2008 International Conference on Natural Language Processing and Knowledge Engineering, 2008Word sense disambiguation (WSD) is a process of identifying proper meaning of words that may have multiple meanings. It is regarded as one of the most challenging problems in the field of natural language processing (NLP). Nepali Language also has words that have multiple meanings, thus giving rise to the problem of WSD in it.
Sanat Kumar Bista +2 more
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Jaccard coefficient-based word sense disambiguation using hybrid knowledge resources [PDF]
2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE), 2015 Word Sense Disambiguation (WSD) has become a popular method for solving the ambiguous meaning of the words in Information Retrieval (IR) field area. Under the Natural Language Processing (NLP) community, WSD has been described as the task which able to select the appropriate meaning among the ambiguous meanings to a given word.
Su Mu Tyar, Thanda Win
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