[PDF] Top 20 Combining Unsupervised Lexical Knowledge Methods for Word Sense Disambiguation
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Combining Unsupervised Lexical Knowledge Methods for Word Sense Disambiguation
... LPPL This paper tries to proof that using an appropriate overall nouns method to combine those heuristics we can disam15,953 10,506 headwords biguate the genus terms with reasonable prec[r] ... See full document
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Sense Embeddings in Knowledge Based Word Sense Disambiguation
... (NLP), Word Sense Disambiguation (WSD) aims at assigning the most probable sense of a word in a document, given a pre-defined sense ...art methods in WSD are often ... See full document
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Robust and Efficient Page Rank for Word Sense Disambiguation
... employed disambiguation is carried out by ranking the graph ...employed lexical information and the overall ...a word or sentence oriented ...target word, as the entire sen- tence can be coded ... See full document
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A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge
... Word sense disambiguation is the process of determining which sense of a word is used in a given ...languages, word sense disambiguation has been exten- sively ... See full document
9
Unsupervised Domain Relevance Estimation for Word Sense Disambiguation
... main knowledge source. Domains show interesting properties both from a lexical and a textual point of ...(iii) lexical identifiability of text’s domain, because it is always possible to as- sign one ... See full document
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Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
... Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation Alexander Panchenko, Fide Marten, Eugen Ruppert, Stefano Faralli, Dmitry Ustalov, Simone Paolo Ponzetto and Chri[r] ... See full document
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Enriching Wordnet for Word Sense Disambiguation
... linguistics, word-sense disambiguation (WSD) is an open problem of natural language processing, which governs the process of identifying which sense of a word ...the word has ... See full document
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Combining ConceptNet and WordNet for Word Sense Disambiguation
... the knowledge of WordNet for WSD ...domain knowledge to assign domain labels to most WordNet ...the disambiguation of the glosses of WordNet or other machine-readable ...above methods mainly ... See full document
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Combining Relational and Distributional Knowledge for Word Sense Disambiguation
... dent sense of mouse 1 or to reliably use the vec- tor in machine learning methods that generalize from the semantics of the word (Erk and Pad´o, ...a sense-annotated corpus, but this is ... See full document
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Word Sense Disambiguation Using Lexical Cohesion in the Context
... above methods (picking up their optimal ...one sense of the target), Baseline Lesk (overlapping between the examples and defini- tions of and unsupervised systems in SEN- SEVAL-2 each sense of ... See full document
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Using Distributional Similarity for Lexical Expansion in Knowledge based Word Sense Disambiguation
... the lexical expansion step, the overall system is purely knowledge-based because it is not trained on sense-labelled examples; the DT similarities are computed on the basis of an automatically parsed ... See full document
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Adaptive Word Sense Disambiguation Using Lexical Knowledge in a Machine-readable Dictionary
... conceptual knowledge in the MRD is effective enough to provide a general solution for disambiguating contexts of unrestricted texts, such as the Brown and Wall Street Journal (WSJ) ...general knowledge ... See full document
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An Unsupervised Approach to Chinese Word Sense Disambiguation Based on Hownet
... a word and calculates the importance of the context to depict the word, so that the precision position of the word in vector space can be ...the word sequence in the context is ignored by ...a ... See full document
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Unsupervised Word Sense Disambiguation Using Neighborhood Knowledge
... graph-based methods for WSD have gained much attention in the NLP community (Veronis, 2004, Sinha and Mihalcea, 2007, Navigli and Lapata, 2007, Mihalcea, 2005, Agirre E, ...These methods have been proposed ... See full document
10
Combining Lexical Substitutes in Neural Word Sense Induction
... ambiguous word to differentiate between its ...leverages lexical substitutes for unsupervised word sense ...pre-trained word embeddings by Mikolov et ...of lexical ... See full document
9
Cro36WSD: A Lexical Sample for Croatian Word Sense Disambiguation
... Discussion. We observe a significant correlation (r=0.740) between word’s AAT and its level of polysemy. It therefore comes as no surprise that highly polysemous words, such as star (old), pojas (belt), and pasti (to ... See full document
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An Unsupervised Word Sense Disambiguation System for Under Resourced Languages
... an unsupervised WSD system that is also knowledge-free: its sense inventory is induced based on the JoBimText framework, and disam- biguation is performed by computing the semantic similar- ity ... See full document
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Unsupervised Domain Tuning to Improve Word Sense Disambiguation
... for Word Sense Disambigua- tion (WSD) since certain meanings tend to be associated with particular ...a sense per (Latent Dirich- let allocation based) ...three unsupervised and one su- ... See full document
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The interaction of knowledge sources in word sense disambiguation
... each word contributing one, we normalized its contribution by the number of words in the denition it came ...different knowledge sources separate and use this information in another partial tagger (see ... See full document
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Unsupervised All words Word Sense Disambiguation with Grammatical Dependencies
... The disambiguation method described here uses grammatical information from the sentential context to constrain word pairs that are allowed to influence each other’s sense ...the Word Sketch ... See full document
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