About: Use of negative examples in training the HVS semantic model     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • This paper describes use of negative examples in training the HVS semantic model. We present a novel initialization of the lexical model using negative examples extracted automatically from a semantic corpus as well as description of an algorithm for extraction these examples. We evaluated the use of negative examples on a closed domain human-human train timetable dialogue corpus. We significantly improved the standard PARSEVAL scores of the baseline system. The labeled F-measure (LF) was increased from 45.4% to 49.1%.
  • This paper describes use of negative examples in training the HVS semantic model. We present a novel initialization of the lexical model using negative examples extracted automatically from a semantic corpus as well as description of an algorithm for extraction these examples. We evaluated the use of negative examples on a closed domain human-human train timetable dialogue corpus. We significantly improved the standard PARSEVAL scores of the baseline system. The labeled F-measure (LF) was increased from 45.4% to 49.1%. (en)
  • Článek popisuje HVS sémantický model a nový způsob zlepšení účení modelu n a základě negativních příkladů extrahovaných (automaticky) z ručně anotovaného korpusu. Korpus je souhrn dialogů z uzavřené úlohy vlakových dotazů. Standardní PARSEVAL skóre základního systému se významně zlepšilo. F-measure (LF) se zvýšilo z 45.4% na 49.1%. (cs)
Title
  • Use of negative examples in training the HVS semantic model
  • Vliv negativních příkladů na trénování HVS sémantického modelu (cs)
  • Use of negative examples in training the HVS semantic model (en)
skos:prefLabel
  • Use of negative examples in training the HVS semantic model
  • Vliv negativních příkladů na trénování HVS sémantického modelu (cs)
  • Use of negative examples in training the HVS semantic model (en)
skos:notation
  • RIV/49777513:23520/06:00000237!RIV09-MSM-23520___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567)
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
  • 505300
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/06:00000237
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • semantic model; HVS; negative examples; train timetable corpus (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [ECBD25C29B04]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Artificial Intelligence
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
  • Švec, Jan
  • Jelínek, Libor
  • Jurčíček, Filip
  • Zahradil, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000241103500076
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 3-540-39090-1
http://localhost/t...ganizacniJednotka
  • 23520
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 47 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software