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  • This paper reports the results of Natural Language Processing (NLP) experiments in semantic parsing, based on a new semantic resource, the Pattern Dictionary of English Verbs (PDEV) (Hanks, 2013). This work is set in the DVC (Disambiguating Verbs by Collocation) project , a project in Corpus Lexicography aimed at expanding PDEV to a large scale. This project springs from a long-term collaboration of lexicographers with computer scientists which has given rise to the design and maintenance of specific, adapted, and user-friendly editing and exploration tools. Particular attention is drawn on the use of NLP deep semantic methods to help in data processing. Possible contributions of NLP include pattern disambiguation, the focus of this article. The present article explains how PDEV differs from other lexical resources and describes its structure in detail. It also presents new classification experiments on a subset of 25 verbs. The SVM model obtained a micro-average F1 score of 0.81.
  • This paper reports the results of Natural Language Processing (NLP) experiments in semantic parsing, based on a new semantic resource, the Pattern Dictionary of English Verbs (PDEV) (Hanks, 2013). This work is set in the DVC (Disambiguating Verbs by Collocation) project , a project in Corpus Lexicography aimed at expanding PDEV to a large scale. This project springs from a long-term collaboration of lexicographers with computer scientists which has given rise to the design and maintenance of specific, adapted, and user-friendly editing and exploration tools. Particular attention is drawn on the use of NLP deep semantic methods to help in data processing. Possible contributions of NLP include pattern disambiguation, the focus of this article. The present article explains how PDEV differs from other lexical resources and describes its structure in detail. It also presents new classification experiments on a subset of 25 verbs. The SVM model obtained a micro-average F1 score of 0.81. (en)
Title
  • Disambiguating Verbs by Collocation: Corpus Lexicography meets Natural Language Processing
  • Disambiguating Verbs by Collocation: Corpus Lexicography meets Natural Language Processing (en)
skos:prefLabel
  • Disambiguating Verbs by Collocation: Corpus Lexicography meets Natural Language Processing
  • Disambiguating Verbs by Collocation: Corpus Lexicography meets Natural Language Processing (en)
skos:notation
  • RIV/00216224:14330/14:00076326!RIV15-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LM2010013), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 11662
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/14:00076326
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Corpus Pattern Analysis; Word Sense Disambiguation; Lexical Semantics (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7BDA7B49A20E]
http://linked.open...v/mistoKonaniAkce
  • Reykjavik, Iceland
http://linked.open...i/riv/mistoVydani
  • Reykjavik, Iceland
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Baisa, Vít
  • Hanks, Patrick
  • El Maarouf, Ismaïl
  • Jane, Bradbury
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • European Language Resources Association (ELRA)
https://schema.org/isbn
  • 9782951740884
http://localhost/t...ganizacniJednotka
  • 14330
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