Matches in SemOpenAlex for { <https://semopenalex.org/work/W2294712878> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2294712878 abstract "Metaphors are ubiquitous in language and developing methods to identify and deal with metaphors is an open problem in Natural Language Processing (NLP). In this paper we describe results from using a maximum entropy (ME) classifier to identify metaphors. Using the Wall Street Journal (WSJ) corpus, we annotated all the verbal targets associated with a set of frames which includes frames of spatial motion, manipulation, and health. One surprising finding was that over 90% of annotated targets from these frames are used metaphorically, underscoring the importance of processing figurative language. We then used this labeled data and each verbal target's PropBank annotation to train a maximum entropy classifier to make this literal vs. metaphoric distinction. Using the classifier, we reduce the final error in the test set by 5% over the verb-specific majority class baseline and 31% over the corpus-wide majority class baseline." @default.
- W2294712878 created "2016-06-24" @default.
- W2294712878 creator A5017105098 @default.
- W2294712878 creator A5051800335 @default.
- W2294712878 creator A5065760252 @default.
- W2294712878 creator A5076326676 @default.
- W2294712878 date "2006-01-01" @default.
- W2294712878 modified "2023-10-10" @default.
- W2294712878 title "Catching metaphors" @default.
- W2294712878 cites W133643759 @default.
- W2294712878 cites W1582833979 @default.
- W2294712878 cites W176121905 @default.
- W2294712878 cites W1863780671 @default.
- W2294712878 cites W1974505970 @default.
- W2294712878 cites W2000654059 @default.
- W2294712878 cites W2038721957 @default.
- W2294712878 cites W2043220715 @default.
- W2294712878 cites W2050797400 @default.
- W2294712878 cites W2052417512 @default.
- W2294712878 cites W2092654472 @default.
- W2294712878 cites W2092910762 @default.
- W2294712878 cites W2098520883 @default.
- W2294712878 cites W2134500216 @default.
- W2294712878 doi "https://doi.org/10.3115/1621459.1621467" @default.
- W2294712878 hasPublicationYear "2006" @default.
- W2294712878 type Work @default.
- W2294712878 sameAs 2294712878 @default.
- W2294712878 citedByCount "89" @default.
- W2294712878 countsByYear W22947128782012 @default.
- W2294712878 countsByYear W22947128782013 @default.
- W2294712878 countsByYear W22947128782014 @default.
- W2294712878 countsByYear W22947128782015 @default.
- W2294712878 countsByYear W22947128782016 @default.
- W2294712878 countsByYear W22947128782017 @default.
- W2294712878 countsByYear W22947128782018 @default.
- W2294712878 countsByYear W22947128782019 @default.
- W2294712878 countsByYear W22947128782020 @default.
- W2294712878 countsByYear W22947128782021 @default.
- W2294712878 countsByYear W22947128782022 @default.
- W2294712878 crossrefType "proceedings-article" @default.
- W2294712878 hasAuthorship W2294712878A5017105098 @default.
- W2294712878 hasAuthorship W2294712878A5051800335 @default.
- W2294712878 hasAuthorship W2294712878A5065760252 @default.
- W2294712878 hasAuthorship W2294712878A5076326676 @default.
- W2294712878 hasBestOaLocation W22947128781 @default.
- W2294712878 hasConcept C138885662 @default.
- W2294712878 hasConcept C154945302 @default.
- W2294712878 hasConcept C169903167 @default.
- W2294712878 hasConcept C204321447 @default.
- W2294712878 hasConcept C2776321320 @default.
- W2294712878 hasConcept C2776397901 @default.
- W2294712878 hasConcept C41008148 @default.
- W2294712878 hasConcept C41895202 @default.
- W2294712878 hasConcept C46182478 @default.
- W2294712878 hasConcept C51632099 @default.
- W2294712878 hasConcept C95623464 @default.
- W2294712878 hasConcept C9679016 @default.
- W2294712878 hasConceptScore W2294712878C138885662 @default.
- W2294712878 hasConceptScore W2294712878C154945302 @default.
- W2294712878 hasConceptScore W2294712878C169903167 @default.
- W2294712878 hasConceptScore W2294712878C204321447 @default.
- W2294712878 hasConceptScore W2294712878C2776321320 @default.
- W2294712878 hasConceptScore W2294712878C2776397901 @default.
- W2294712878 hasConceptScore W2294712878C41008148 @default.
- W2294712878 hasConceptScore W2294712878C41895202 @default.
- W2294712878 hasConceptScore W2294712878C46182478 @default.
- W2294712878 hasConceptScore W2294712878C51632099 @default.
- W2294712878 hasConceptScore W2294712878C95623464 @default.
- W2294712878 hasConceptScore W2294712878C9679016 @default.
- W2294712878 hasLocation W22947128781 @default.
- W2294712878 hasOpenAccess W2294712878 @default.
- W2294712878 hasPrimaryLocation W22947128781 @default.
- W2294712878 hasRelatedWork W17944005 @default.
- W2294712878 hasRelatedWork W1972167985 @default.
- W2294712878 hasRelatedWork W1999699871 @default.
- W2294712878 hasRelatedWork W2006801911 @default.
- W2294712878 hasRelatedWork W2021633306 @default.
- W2294712878 hasRelatedWork W2043806667 @default.
- W2294712878 hasRelatedWork W2061050749 @default.
- W2294712878 hasRelatedWork W2350644419 @default.
- W2294712878 hasRelatedWork W2971899271 @default.
- W2294712878 hasRelatedWork W4225124612 @default.
- W2294712878 isParatext "false" @default.
- W2294712878 isRetracted "false" @default.
- W2294712878 magId "2294712878" @default.
- W2294712878 workType "article" @default.