Matches in SemOpenAlex for { <https://semopenalex.org/work/W99109353> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W99109353 endingPage "1621" @default.
- W99109353 startingPage "1616" @default.
- W99109353 abstract "While the most accurate word sense disambiguation systems are built using supervised learning from sense-tagged data, scaling them up to all words of a language has proved elusive, since preparing a sense-tagged corpus for all words of a language is time-consuming and human labor intensive.In this paper, we propose and implement a completely automatic approach to scale up word sense disambiguation to all words of English. Our approach relies on English-Chinese parallel corpora, English-Chinese bilingual dictionaries, and automatic methods of finding synonyms of Chinese words. No additional human sense annotations or word translations are needed.We conducted a large-scale empirical evaluation on more than 29,000 noun tokens in English texts annotated in OntoNotes 2.0, based on its coarsegrained sense inventory. The evaluation results show that our approach is able to achieve high accuracy, outperforming the first-sense baseline and coming close to a prior reported approach that requires manual human efforts to provide Chinese translations of English senses." @default.
- W99109353 created "2016-06-24" @default.
- W99109353 creator A5022140309 @default.
- W99109353 creator A5087774807 @default.
- W99109353 date "2009-07-11" @default.
- W99109353 modified "2023-09-24" @default.
- W99109353 title "Word sense disambiguation for all words without hard labor" @default.
- W99109353 cites W135437175 @default.
- W99109353 cites W1508977358 @default.
- W99109353 cites W1510514866 @default.
- W99109353 cites W1632114991 @default.
- W99109353 cites W1973923101 @default.
- W99109353 cites W1976252502 @default.
- W99109353 cites W2031026221 @default.
- W99109353 cites W2033441998 @default.
- W99109353 cites W2035717317 @default.
- W99109353 cites W2081523373 @default.
- W99109353 cites W2088911157 @default.
- W99109353 cites W2102381086 @default.
- W99109353 cites W2108997961 @default.
- W99109353 cites W2145262681 @default.
- W99109353 cites W2166776180 @default.
- W99109353 cites W2408074681 @default.
- W99109353 cites W31189740 @default.
- W99109353 cites W91190427 @default.
- W99109353 hasPublicationYear "2009" @default.
- W99109353 type Work @default.
- W99109353 sameAs 99109353 @default.
- W99109353 citedByCount "8" @default.
- W99109353 countsByYear W991093532012 @default.
- W99109353 countsByYear W991093532015 @default.
- W99109353 countsByYear W991093532016 @default.
- W99109353 countsByYear W991093532017 @default.
- W99109353 crossrefType "proceedings-article" @default.
- W99109353 hasAuthorship W99109353A5022140309 @default.
- W99109353 hasAuthorship W99109353A5087774807 @default.
- W99109353 hasConcept C121332964 @default.
- W99109353 hasConcept C121934690 @default.
- W99109353 hasConcept C138885662 @default.
- W99109353 hasConcept C154945302 @default.
- W99109353 hasConcept C157659113 @default.
- W99109353 hasConcept C162324750 @default.
- W99109353 hasConcept C187736073 @default.
- W99109353 hasConcept C204321447 @default.
- W99109353 hasConcept C2778755073 @default.
- W99109353 hasConcept C2780451532 @default.
- W99109353 hasConcept C41008148 @default.
- W99109353 hasConcept C41895202 @default.
- W99109353 hasConcept C44572571 @default.
- W99109353 hasConcept C51646954 @default.
- W99109353 hasConcept C62520636 @default.
- W99109353 hasConcept C90805587 @default.
- W99109353 hasConceptScore W99109353C121332964 @default.
- W99109353 hasConceptScore W99109353C121934690 @default.
- W99109353 hasConceptScore W99109353C138885662 @default.
- W99109353 hasConceptScore W99109353C154945302 @default.
- W99109353 hasConceptScore W99109353C157659113 @default.
- W99109353 hasConceptScore W99109353C162324750 @default.
- W99109353 hasConceptScore W99109353C187736073 @default.
- W99109353 hasConceptScore W99109353C204321447 @default.
- W99109353 hasConceptScore W99109353C2778755073 @default.
- W99109353 hasConceptScore W99109353C2780451532 @default.
- W99109353 hasConceptScore W99109353C41008148 @default.
- W99109353 hasConceptScore W99109353C41895202 @default.
- W99109353 hasConceptScore W99109353C44572571 @default.
- W99109353 hasConceptScore W99109353C51646954 @default.
- W99109353 hasConceptScore W99109353C62520636 @default.
- W99109353 hasConceptScore W99109353C90805587 @default.
- W99109353 hasLocation W991093531 @default.
- W99109353 hasOpenAccess W99109353 @default.
- W99109353 hasPrimaryLocation W991093531 @default.
- W99109353 hasRelatedWork W1481149166 @default.
- W99109353 hasRelatedWork W1539861085 @default.
- W99109353 hasRelatedWork W1573662646 @default.
- W99109353 hasRelatedWork W1576084169 @default.
- W99109353 hasRelatedWork W1792843900 @default.
- W99109353 hasRelatedWork W1989563023 @default.
- W99109353 hasRelatedWork W2022334348 @default.
- W99109353 hasRelatedWork W2040930890 @default.
- W99109353 hasRelatedWork W2069102579 @default.
- W99109353 hasRelatedWork W2081523373 @default.
- W99109353 hasRelatedWork W2107223240 @default.
- W99109353 hasRelatedWork W2116715664 @default.
- W99109353 hasRelatedWork W2145262681 @default.
- W99109353 hasRelatedWork W2232100672 @default.
- W99109353 hasRelatedWork W2238729327 @default.
- W99109353 hasRelatedWork W2258247613 @default.
- W99109353 hasRelatedWork W2436001372 @default.
- W99109353 hasRelatedWork W2541311332 @default.
- W99109353 hasRelatedWork W2945447230 @default.
- W99109353 hasRelatedWork W31189740 @default.
- W99109353 isParatext "false" @default.
- W99109353 isRetracted "false" @default.
- W99109353 magId "99109353" @default.
- W99109353 workType "article" @default.