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Find link is a tool written by Edward Betts.Longer titles found: Classic monolingual word-sense disambiguation (view)
searching for Word-sense disambiguation 15 found (102 total)
alternate case: word-sense disambiguation
Robert Wilensky
(612 words)
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Traupman and R. Wilensky, "Experiments in Improving Unsupervised Word Sense Disambiguation," University of California, Berkeley, Department of EECS, ComputerWeak supervision (3,067 words) [view diff] no match in snippet view article find links to article
self-training algorithm is the Yarowsky algorithm for problems like word sense disambiguation, accent restoration, and spelling correction. Co-training is anNaver Papago (391 words) [view diff] no match in snippet view article find links to article
Young-Seob (2016). "papago: A Machine Translation Service with Word Sense Disambiguation and Currency Conversion" (PDF). ACL Anthology. Official websiteMarine Carpuat (293 words) [view diff] no match in snippet view article find links to article
May 29, 2018. Retrieved April 6, 2021. Carpuat, Marine (2008). Word sense disambiguation for statistical machine translation (PhD). HKUST. "CLIP Lab".Biomedical text mining (6,752 words) [view diff] no match in snippet view article find links to article
for word sense disambiguation". BMC Bioinformatics. 12 (1): 223. doi:10.1186/1471-2105-12-223. PMC 3123611. PMID 21635749. "Word Sense Disambiguation (WSD)Controlled language in machine translation (467 words) [view diff] no match in snippet view article find links to article
109-129. Ide, I; Véronis, J.: «Introduction to the Special Issue on Word Sense Disambiguation: The State of the Art», Computational Linguistics 1998; 24 (1):Lucia Specia (511 words) [view diff] no match in snippet view article find links to article
LinkedIn Specia, Lucia (2007). A hybrid relational approach for word sense disambiguation in machine translation (PhD thesis). doi:10.11606/T.55.2007.tde-05122007-205308Jensen–Shannon divergence (2,289 words) [view diff] no match in snippet view article find links to article
Lillian Lee; Fernando Pereira (1997). "Similarity-Based Methods For Word Sense Disambiguation". Proceedings of the Thirty-Fifth Annual Meeting of the AssociationNaive Bayes spam filtering (3,348 words) [view diff] no match in snippet view article find links to article
Florentina T. (2013). The Naïve Bayes Model for Unsupervised Word Sense Disambiguation. London; Berlin: Springer- Verlag Heidelberg Berlin. p. 70.Lukas Biewald (902 words) [view diff] case mismatch in snippet view article find links to article
Media's Beautiful Data that he co-authored with Brendan O'Connor. Word-Sense Disambiguation for Machine Translation, by David Vickrey, Lukas Biewald, MarcMadhan Karky (3,877 words) [view diff] no match in snippet view article find links to article
j, T V Geetha, Ranjani Parthasarathi, Madhan Karky, On Tamil Word Sense Disambiguation using UNL Representation, 9th International Conference on NaturalBoris Katz (601 words) [view diff] no match in snippet view article find links to article
Exploiting lexical regularities in designing natural language systems Word sense disambiguation for information retrieval HIKE (HPKB integrated knowledge environment)-List of algorithms (7,908 words) [view diff] no match in snippet view article find links to article
decimal latitude/longitude pair as a hash string Lesk algorithm: word sense disambiguation Stemming algorithm: a method of reducing words to their stem,Mona Diab (1,208 words) [view diff] no match in snippet view article find links to article
University Facebook AI Columbia University Stanford University Thesis Word Sense Disambiguation within a Multilingual Framework(2003) Doctoral advisor PhilipError-driven learning (1,925 words) [view diff] no match in snippet view article find links to article
Pedersen. "Combining lexical and syntactic features for supervised word sense disambiguation." Proceedings of the Eighth Conference on Computational Natural