Detail publikačního výsledku

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

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

This paper deals with knowledge-based text
processing which aims at an intuitive notion
of textual similarity. Entities and relations relevant
for a particular domain are identified and
disambiguated by means of semi-supervised
machine learning techniques and resulting annotations
are applied for computing typedsimilarity
of individual texts.

Anglický abstrakt

This paper deals with knowledge-based text
processing which aims at an intuitive notion
of textual similarity. Entities and relations relevant
for a particular domain are identified and
disambiguated by means of semi-supervised
machine learning techniques and resulting annotations
are applied for computing typedsimilarity
of individual texts.

Klíčová slova

entity extraction, semantic similarity

Klíčová slova v angličtině

entity extraction, semantic similarity

Autoři

OTRUSINA, L.; SMRŽ, P.

Rok RIV

2014

Vydáno

30.06.2013

Nakladatel

Association for Computational Linguistics

Místo

Atlanta

ISBN

978-1-937284-48-0

Kniha

Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity

Strany od

119

Strany do

123

Strany počet

5

BibTex

@inproceedings{BUT103581,
  author="Lubomír {Otrusina} and Pavel {Smrž}",
  title="BUT-TYPED: Using domain knowledge for computing typed similarity",
  booktitle="Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity",
  year="2013",
  pages="119--123",
  publisher="Association for Computational Linguistics",
  address="Atlanta",
  isbn="978-1-937284-48-0"
}