word-sense-disambiguation method
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 ...
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A Word Sense Disambiguation Method Using Bilingual Corpus
... tag word sense of a large corpus in statistics-based WSD method, efforts have been made to automatically sense-tag a training corpus via bootstrapping ...be disambiguation is manually ...
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Word sense disambiguation and information retrieval
... The method involved the introduction to a text collection, of artificially created ambiguous words, called ...a word (in this case a size 2 pseudo-word) is performed by replacing all occurrences of ...
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Word Sense Disambiguation Based on Lexical and Semantic Features Using Naive Bayes Classifier
... The method proposed by Mosavi and Khalafi is somewhat similar to that of the Dagan and Itai which uses a target language ...probable sense for the multiple-meaning words is ...this method, no ...
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Word Sense Disambiguation for Spam Filtering
... of Word Sense Disambiguation ...proposed method can detect the internal semantics of spam ...filtering, word sense disambiguation, secure e-commerce, computer ...
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Word Sense Disambiguation by Relative Selection
... their method on nouns of lexical sample task of SENSEVAL-2. Their method achieved ...proposed method achieved 47.26%, and the method of [8] ...the method of [9] ...the method of ...
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Determining the Difficulty of Word Sense Disambiguation
... This method obtained a statistically significantly higher negative correlation than the other measures when com- pared to both the supervised and unsupervised WSD systems (p 6 ...
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Word Sense Disambiguation for Machine Translation
... standard method is to con- sider only target words which have high probabil- ity according to the discriminative alignment ...the word translation model achieves much better performance on word ...
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Domain Kernels for Word Sense Disambiguation
... supervised Word Sense Disambiguation methodol- ogy, that exploits kernel methods to model sense ...our method- ology on several lexical sample tasks in different languages, ...
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A word sense disambiguation corpus for Urdu
... nearest word on the basis of provided context words, in contrast, in the skip-gram model a system aim to predict nearest words on the basis of a given target ...
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A Method for Word Sense Disambiguation of Unrestricted Text
... In this paper, we present a method that attempts to disambiguate all the nouns, verbs, adverbs and adjectives in a text, using the senses provided in WordNet.. The senses are ranked usin[r] ...
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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 ...of sense usage examples coming from ...
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Chinese Word Sense Disambiguation based on Context Expansion
... ambiguous word can be substituted by synonymy, and the new context represented by synonymy expresses the same meaning, thus the sense of the ambiguous word in new context remains ...first ...
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Word Sense Disambiguation using a dictionary for sense similarity measure
... our method (dubbed Prox) to compute a distance between nodes in the kind of graph described in the previous ...stochastic method for the study of so-called hierarchical small-world graphs (Gaume et ...
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Word Sense Disambiguation Focusing on POS Tag Disambiguation in Persian:
... this method correctly disambiguated ...This method was compared to three supervised corpus-based methods including Naïve Bayes, Exemplar-based, and Decision ...this method needs no training data, and ...
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Surrounding Word Sense Model for Japanese All-words Word Sense Disambiguation
... the sense distribution of the surrounding words of each target word before training using α : the transition probability param- ...our method is an unsupervised approach, we cannot know the ...
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Syntactic Features for High Precision Word Sense Disambiguation
... first method is based on a decision- threshold (Dagan and Itai, 1994): the algorithm rejects decisions taken when the difference of the maximum likelihood among the competing senses is not big ...
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Word Alignment with Synonym Regularization
... a word alignment generative ...for word alignment. Our proposed method uses a latent topic for bilingual sentences and monolingual syn- onym pairs, which is helpful in terms of word ...
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Personalizing PageRank for Word Sense Disambiguation
... WSD method based on lexical chains called structural semantic intercon- nections ...in Word- Net glosses, the authors also apply the method for labeling text ...The method was eval- uated on ...
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Word Sense Disambiguation vs Statistical Machine Translation
... kernel method for extracting nonlinear principal components from vector sets where, conceptually, the n-dimensional input vectors are nonlinearly mapped from their original space R n to a high-dimensional feature ...
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