Detail publikace

BUT-TYPED: Using domain knowledge for computing typed similarity

OTRUSINA, L. SMRŽ, P.

Originální název

BUT-TYPED: Using domain knowledge for computing typed similarity

Anglický název

BUT-TYPED: Using domain knowledge for computing typed similarity

Jazyk

en

Originální abstrakt

This paper deals with knowledge-based textprocessing which aims at an intuitive notionof textual similarity. Entities and relations relevantfor a particular domain are identified anddisambiguated by means of semi-supervisedmachine learning techniques and resulting annotationsare applied for computing typedsimilarityof individual texts.

Anglický abstrakt

This paper deals with knowledge-based textprocessing which aims at an intuitive notionof textual similarity. Entities and relations relevantfor a particular domain are identified anddisambiguated by means of semi-supervisedmachine learning techniques and resulting annotationsare applied for computing typedsimilarityof individual texts.

Dokumenty

BibTex


@inproceedings{BUT103581,
  author="Lubomír {Otrusina} and Pavel {Smrž}",
  title="BUT-TYPED: Using domain knowledge for computing typed similarity",
  annote="This paper deals with knowledge-based textprocessing which aims at an intuitive
notionof textual similarity. Entities and relations relevantfor a particular
domain are identified anddisambiguated by means of semi-supervisedmachine
learning techniques and resulting annotationsare applied for computing
typedsimilarityof individual texts.",
  address="Association for Computational Linguistics",
  booktitle="Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity",
  chapter="103581",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Association for Computational Linguistics",
  year="2013",
  month="june",
  pages="119--123",
  publisher="Association for Computational Linguistics",
  type="conference paper"
}