[PDF] Top 20 Word Sense Disambiguation Using Decomposable Models
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Word Sense Disambiguation Using Decomposable Models
... In our approach to disambiguation, a contextual feature is judged to be informative i.e., correlated with the sense tag of the ambiguous word if the model for independence between that f[r] ... See full document
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Word Sense Disambiguation Using Statistical Models of Roget’s Categories Trained on Large Corpora
... Word Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora Word Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora Davi[.] ... See full document
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Word Sense Disambiguation vs Statistical Machine Translation
... do word sense disambiga- tion models help statistical machine trans- lation quality? We present empirical re- sults casting doubt on this common, but unproved, ...assumption. Using a state-of- ... See full document
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Neural Sequence Learning Models for Word Sense Disambiguation
... architecture using multiple loss func- tions and a shared representation, with the under- lying intention of improving a main task by incor- porating joint learning of one or more related aux- iliary ... See full document
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Semi supervised Word Sense Disambiguation with Neural Models
... by averaging context vectors of all training sentences of the same sense. We observed in a few cases that the context vector is far from the held-out word’s embedding, especially when the input sentence is not ... See full document
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Zero shot Word Sense Disambiguation using Sense Definition Embeddings
... represents models which access definitions, while ˆ indicates models which don’t access any external ...mechanism, using WordNet S1 for words unseen during ...the models compared, EWISE is the ... See full document
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A Review on Word Sense Disambiguation
... statistical models of how fundamental sources could produce the input and other one is Feature extraction techniques: attempt to take out statistical regularities straightly from the ... See full document
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Learning Expressive Models for Word Sense Disambiguation
... fine-grained sense distinctions and using the evaluation system provided by ...frequent sense and accuracies reported on the same set of verbs by the best systems submitted by the sites which ... See full document
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Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information
... and Word- Net senses, but it is fairly small, and does not ex- plicitly include any structural semantic ...(e.g. sense tags): the Hinoki treebank (Bond et ...train word sense ... See full document
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Maximum Entropy Models for Word Sense Disambiguation
... ? ??????? ? ? ? ????????????? ??? ?????! "?#?%$ ?#???'&(?)?*?+? , ???+?/?10 ??2??*????????? 3547698? <;>=@?)8?ACBED?FHGJI
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Word Sense Disambiguation Based on Structured Semantic Space
... Word Sense Disambiguation Based on Structured Semantic Space*.. semantic space, as a foundation for word sense.[r] ... See full document
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Subjectivity Word Sense Disambiguation
... of sense inventories for WSD. They aim for a more coarse- grained sense inventory to overcome performance shortcomings related to fine-grained sense distinc- ...the sense that we reduce all ... See full document
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Word Sense Disambiguation Based on Lexical and Semantic Features Using Naive Bayes Classifier
... the word sense ...for word sense disambiguation are evaluated and a method which is proposed based on the concept, structure and meaning of the ... See full document
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Using Parallel Corpora for Word Sense Disambiguation
... (2007) word aligned the translations of Or- well’s 1984 (Dimitrova et ...pair-wise word align- ment of nouns, verbs, adjectives, and adverbs us- ing GIZA++ (Och, ...bilingual word alignments ... See full document
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Word Sense Disambiguation Using Lexical Cohesion in the Context
... 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 the target and context words), and its reduced version, ... See full document
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Improving Word Sense Disambiguation Using Topic Features
... The features used in these systems usually in- clude local features, such as part-of-speech (POS) of neighboring words, local collocations , syntac- tic patterns and global features such as single words in the ... See full document
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Word Sense Disambiguation Using OntoNotes: An Empirical Study
... curring word types, we are able to achieve a WSD accuracy of ...just using 1,500 in-domain OntoNotes ...by using all 31,114 OntoNotes sections 02-21 examples, we have ob- tained half of this maximum ... See full document
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Word Sense Disambiguation of Adjectives Using Probabilistic Networks
... wsd dvi Word Sense Disambiguation of Adjectives Using Probabilistic Networks Gerald Chao and Michael G Dyer Computer Science Department, University of California, Los Angeles Los Angeles, California 9[.] ... See full document
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Improving Subcategorization Acquisition Using Word Sense Disambiguation
... [r] ... See full document
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Using Wikipedia for Automatic Word Sense Disambiguation
... given word, we decided to use instead the anno- tations collected directly from the Wikipedia ...the disambiguation page, but to related ...performed using a concept that is similar, but not ... See full document
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