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  • Resolution of anaphoric reference is one of the most important challenges in natural language processing (NLP). Functionality of most NLP systems crucially relies on an accurate mechanism for determining which expressions in the input refer to the same entity in the real world. The immense complexity of this issue has led the research community to adopt predominantly knowledge-poor methods, despite the fact that these are known to be incapable of solving this task reliably. This paper suggests several ways of extending such methods by further resources and mechanisms in order to arrive at a more adequate anaphora resolution procedure. First, the paper sketches how to exploit information about verb valencies or co-occurrence statistics to account for semantic plausibility of individual antecedent candidates. Further, several ways of adapting ML-based AR methods are suggested, so that they account for the structure of the AR task more closely.
  • Resolution of anaphoric reference is one of the most important challenges in natural language processing (NLP). Functionality of most NLP systems crucially relies on an accurate mechanism for determining which expressions in the input refer to the same entity in the real world. The immense complexity of this issue has led the research community to adopt predominantly knowledge-poor methods, despite the fact that these are known to be incapable of solving this task reliably. This paper suggests several ways of extending such methods by further resources and mechanisms in order to arrive at a more adequate anaphora resolution procedure. First, the paper sketches how to exploit information about verb valencies or co-occurrence statistics to account for semantic plausibility of individual antecedent candidates. Further, several ways of adapting ML-based AR methods are suggested, so that they account for the structure of the AR task more closely. (en)
Title
  • Enhancing Anaphora Resolution for Czech
  • Enhancing Anaphora Resolution for Czech (en)
skos:prefLabel
  • Enhancing Anaphora Resolution for Czech
  • Enhancing Anaphora Resolution for Czech (en)
skos:notation
  • RIV/00216224:14330/07:00023097!RIV10-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LC536)
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
  • 420197
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/07:00023097
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • anaphora resolution; linguistic resources; verb valency; semantic plausibility; WordNet; Czech (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [131C69308F52]
http://linked.open...v/mistoKonaniAkce
  • Karlova Studánka
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • RASLAN 2007
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
  • Němčík, Václav
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000268015500007
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Masarykova univerzita
https://schema.org/isbn
  • 978-80-210-4471-5
http://localhost/t...ganizacniJednotka
  • 14330
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