Results 221 to 230 of about 1,924,192 (245)
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Annual Meeting of the Association for Computational Linguistics
In parataxis languages like Chinese, word meanings are highly correlated with morphological knowledge, which can help to disam-biguate word senses.
Yue Wang +4 more
semanticscholar +1 more source
In parataxis languages like Chinese, word meanings are highly correlated with morphological knowledge, which can help to disam-biguate word senses.
Yue Wang +4 more
semanticscholar +1 more source
Improving Word Sense Disambiguation By Adopting Refined Algorithms
2024 Third International Conference on Trends in Electrical, Electronics, and Computer Engineering (TEECCON)Word sense disambiguation (WSD) is an important subfield of Natural Language Processing (NLP) that helps in determining the correct sense of a word in a sentence based on the context.
Anirudh S Nair +5 more
semanticscholar +1 more source
Evaluating Word Sense Disambiguation Techniques for Punjabi Language: A Comparative Analysis
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTWord Sense Disambiguation (WSD) is a fundamental task in natural language processing (NLP) that focuses on determining the precise meaning of a word by analyzing its contextual usage.This paper presents a comprehensive analysis of various WSD techniques ...
Gursewak Singh
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Word Sense Disambiguation for Setswana Using Transformer-Based Models
Proceedings of the 2024 7th International Conference on Artificial Intelligence and Pattern RecognitionThis study explores the performance of various transformer-based models on Word Sense Disambiguation (WSD) for Setswana, a low-resource language. We evaluated six models: PuoBERTa, BERT-base-multilingual-cased, XLM-Roberta-base, Afro-XLMR-base, LaBSE ...
G. Malema, Boago Okgetheng
semanticscholar +1 more source
Journal of Electrical Engineering & TechnologyProceedings of the 2009 International Conference on Hybrid Information Technology, 2009
The high frequency of the use of Arabic numerals in informative texts and their multiple senses and readings deteriorate the accuracy of TTS systems. This paper presents a hybrid word sense disambiguation method exploiting a tagged corpus and a Korean wordnet, KorLex 1.0, for the correct and efficient conversion of Arabic numerals into Korean phonemes ...
Minho Kim, Youngim Jung, Hyuk-Chul Kwon
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The high frequency of the use of Arabic numerals in informative texts and their multiple senses and readings deteriorate the accuracy of TTS systems. This paper presents a hybrid word sense disambiguation method exploiting a tagged corpus and a Korean wordnet, KorLex 1.0, for the correct and efficient conversion of Arabic numerals into Korean phonemes ...
Minho Kim, Youngim Jung, Hyuk-Chul Kwon
openaire +1 more source
Using UMLS lexical resources to disambiguate abbreviations in clinical text.
AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013Clinical text is rich in acronyms and abbreviations, and they are highly ambiguous. As a pre-processing step before subsequent NLP analysis, we are developing and evaluating clinical abbreviation disambiguation methods. The evaluation of two sequential steps, the detection and the disambiguation of abbreviations, is reported here, for various types of ...
Youngjun, Kim +2 more
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SenWiCh: Sense-Annotation of Low-Resource Languages for WiC using Hybrid Methods
Proceedings of the 7th Workshop on Research in Computational Linguistic Typology and Multilingual NLPThis paper addresses the critical need for high-quality evaluation datasets in low-resource languages to advance cross-lingual transfer. While cross-lingual transfer offers a key strategy for leveraging multilingual pretraining to expand language ...
Roksana Goworek +12 more
semanticscholar +1 more source
2010
Abstract : Natural language processing systems are increasingly integrating lexicons with ontologies for word sense disambiguation (WSD). Manually acquiring a lexicon that is integrated with a large ontology and other semantic resources can be difficult and inefficient in part due to the complexity of ontologies and inconsistency of entity extractors ...
Ethan Cooper +4 more
openaire +1 more source
Abstract : Natural language processing systems are increasingly integrating lexicons with ontologies for word sense disambiguation (WSD). Manually acquiring a lexicon that is integrated with a large ontology and other semantic resources can be difficult and inefficient in part due to the complexity of ontologies and inconsistency of entity extractors ...
Ethan Cooper +4 more
openaire +1 more source