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Disambiguating Information and Memory Resources in Children’s Processing of Italian Relative Clauses
Journal of Psycholinguistic Research, 2010We investigated the role of number agreement on verb and of animacy in the comprehension of subject and object relative clauses in 51 monolingual Italian-speaking children, mean age 9:33, tested through a self-paced listening experiment with a final comprehension question.
AROSIO, FABRIZIO +2 more
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Jaccard coefficient-based word sense disambiguation using hybrid knowledge resources
2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE), 2015Word 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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USPTO PatentsView: A Disambiguated Resource for Policy Research
2017“USPTO PatentsView: A Disambiguated Resource for Policy Research” presented by Evgeny Klochikhin (AIR) at the Identifiers and Intellectual Property Workshop co-hosted by Crossref, the OECD, and ORCID at the OECD in Paris, France on 22 June 2017.
ORCID, Klochikhin, Evgeny
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On the Quality of Lexical Resources for Word Sense Disambiguation
2004Word Sense Disambiguation (WSD) systems are usually evaluated by comparing their absolute performance, in a fixed experimental setting, to other alternative algorithms and methods. However, little attention has been paid to analyze the lexical resources and the corpora defining the experimental settings and their possible interactions with the overall ...
Lluís Màrquez +4 more
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Cross-Lingual Word Sense Disambiguation for Languages with Scarce Resources
2011Word Sense Disambiguation has long been a central problem in computational linguistics. Word Sense Disambiguation is the ability to identify the meaning of words in context in a computational manner. Statistical and supervised approaches require a large amount of labeled resources as training datasets.
Bahareh Sarrafzadeh +3 more
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Proceedings 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
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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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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
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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
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Word sense disambiguation for low resource languages: setswana collocations
International Workshop on Signal Processing and Machine Learning (WSPML 2023), 2023Boago Okgetheng +2 more
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Contemporary Research Analysis Journal
Word Sense Disambiguation (WSD) remains one of the most challenging problems in Natural Language Processing (NLP), particularly in morphologically rich and low-resource languages. Hausa presents a unique case, where polysemy interacts with morphology to produce highly ambiguous tokens.
Halima Aminu, I.R. Saidu, P. O. Odion
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Word Sense Disambiguation (WSD) remains one of the most challenging problems in Natural Language Processing (NLP), particularly in morphologically rich and low-resource languages. Hausa presents a unique case, where polysemy interacts with morphology to produce highly ambiguous tokens.
Halima Aminu, I.R. Saidu, P. O. Odion
openaire +1 more source