word sense

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  • noun

Synonyms for word sense

the accepted meaning of a word

References in periodicals archive ?
"Word sense disambiguation: the states of the art." Computationsal linguistics (24:1) p.
"The trouble with word sense disambiguation is word senses", reads the opening line of an article written by Kilgarriff (2006: 29).
Depictability means whether a word sense is a physical object in the Wordnet concept hierarchy.
If we can determine which words (as spelling forms) cooccur frequently with each word sense, we can use these neighborhoods to disambiguate the word to its proper sense in a given text.
Keywords: evolutionary algorithms, genetic algorithms, natural language understanding, word sense disambiguation
A key problem in natural language processing is word sense disambiguation.
For Sinclair, one of the arguments against the concept of "word sense" is the inconsistency between the intricacy of disambiguation and the apparent ease and effortlessness with which native speakers engage in verbal communication.
Co-citation links could be derived for all texts that have some word sense in common; that is, texts are related if they each supply a quotation for a given sense.
Next, instead of using simple one-to-one mappings between the source and the target language, translation equivalents are clustered into sets of synonyms by a cross-lingual Word Sense Induction method The obtained sense clusters enable us to expand the translation of vector features with several translation variants using a cross-lingual Word Sense Disambiguation method Consequently, the vector features are disambiguated and translated with the translation variants included in the semantically most appropriate cluster, thus producing less noisy and richer vectors that allow for a more successful cross- lingual vector comparison than in previous methods.
A random walk applied on this graph results in a set of scores that reflects the "importance" of each word sense in the given text.
We propose a novel technique to learn user profiles which exploits word sense disambiguation based on the WordNet lexical database, in an attempt to produce semantic user profiles that might discover topics semantically closer to the user interests.
Despite some limitation, then it is likely that better rule sets can be compiled at least to detect and model the life-meaning issues with aim to improve the accuracy, namely the number of words correctly disambiguated, ipso facto preventing from word sense ambiguity, which is one of the main causes which affect the retrieval performance in the field of information retrieval and natural language processing, on account of the polysemies (when one word may have different meanings under different contexts) and synonymies (when different words may have the same meaning).
In Proceedings of the Workshop on "Word Sense Disambiguation: Recent Successes and Future Directions.