[PDF] Top 20 Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation
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Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation
... target word may better capture the overall context than single part of speech fea- ...speech features may help identify the intended sense of the noun ...target word line is used in the plural ... See full document
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Word Sense Disambiguation Based on Lexical and Semantic Features Using Naive Bayes Classifier
... probable sense for the multiple-meaning words is ...considering syntactic tuples in the target language corpus, they consider just co-occurrences of certain words in that corpus without having a syntac- tic ... See full document
10
Word Sense Disambiguation with Multilingual Features
... OntoNotes sense tags (Hovy et ...traditional sense repository encoded in the WordNet lexical ...for supervised learning approaches, WordNet is too fine grained even for human judges to agree ... See full document
10
Can Syntactic and Logical Graphs help Word Sense Disambiguation?
... of word sense disambiguation (WSD) can be regarded as one of the most important tasks for natural language processing applications including semantic interpretation of texts, semantic web ... See full document
7
Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information
... of syntactic information (predicate-argument relations) improve the quality of word sense disambiguation ...on combining WSD and parse ... See full document
9
Supervised Approach to Word Sense Disambiguation
... a word is activated by the use of the word in a particular ...NLP- lexical, syntactic, and semantic and discourse ...on Lexical Semantic ambiguity task. Lexical Semantic ... See full document
6
Enhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resources
... for Word Sense Disambiguation (WSD) currently yield to state-of-the-art results in the most popular ...of Word Embeddings and Recurrent Neural Networks to design powerful context-related ... 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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Syntactic Features for High Precision Word Sense Disambiguation
... linearly combining many weak classifiers, each of which may be only moderately accurate (Freund, ...NLP disambiguation tasks, including word sense disambiguation (Escudero et ...a ... See full document
7
Knowledge Rich Word Sense Disambiguation Rivaling Supervised Systems
... lexico- syntactic patterns (Hearst, 1992; Cimiano et ...on lexical and semantic regularities (Harabagiu et ...from sense-annotated (Agirre and Martinez, 2001) and raw corpora (McCarthy and Carroll, ... See full document
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Simple Features for Chinese Word Sense Disambiguation
... more features from richer levels of linguistic annotation yielded no significant improvement over using only collo- cational ...only lexical collo- cations from automatic segmentation was sufficient to ... See full document
7
Semi supervised Word Sense Disambiguation with Neural Models
... Word sense disambiguation (WSD) is a long-standing problem in natural language processing (NLP) with broad ...applications. Supervised, unsupervised, and knowledge-based approaches have been ... See full document
12
A Simple Approach to Building Ensembles of Naive Bayesian Classifiers for Word Sense Disambiguation
... Abstract This paper presents a corpus-based approach to word sense disambiguation that builds an ensemble of Naive Bayesian classifiers, each of which is based on lexical features that r[r] ... See full document
7
Cro36WSD: A Lexical Sample for Croatian Word Sense Disambiguation
... our sense inventory a couple of times before proceeding with the main annotation ...each word from the ...the sense inventory and we got the opportu- nity to improve our annotation tool based on ... See full document
6
Word Sense Disambiguation Using Lexical Cohesion in the Context
... the lexical hub and pro- posed its use for processing word sense disam- biguation, achieving results that are compara- tively better than most unsupervised systems of SENSEVAL-2 in the ...and ... See full document
8
SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation
... Word Sense Disambiguation (Navigli, 2009, WSD), is one of the long-standing challenges of Natural Language ...a word in context and a pre-specified sense inven- tory, the task of WSD is ... See full document
6
Combining Relational and Distributional Knowledge for Word Sense Disambiguation
... open lexical resource for ...main lexical-semantic relation of SALDO is the associ- ation relation based on centrality, while in Word- Net the hierarchy is ...specific sense of a word, ... See full document
10
The Role of Semantic Roles in Disambiguating Verb Senses
... that disambiguation of verb senses can be improved by leveraging information about predicate arguments and their semantic ...extracting syntactic features fail to identify all and only the arguments ... See full document
8
Combining Lexical Substitutes in Neural Word Sense Induction
... ous word in a particular context, also known as lexical contextual substitutes, are very helpful for WSI because possible substitutes strongly de- pend on the expressed meaning of the ambigu- ous ...the ... See full document
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