Publication Details

BUT-TYPED: Using domain knowledge for computing typed similarity

OTRUSINA, L.; SMRŽ, P. BUT-TYPED: Using domain knowledge for computing typed similarity. Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity. Atlanta: Association for Computational Linguistics, 2013. p. 119-123. ISBN: 978-1-937284-48-0.

Czech title

BUT-TYPED: Použití doménové znalosti pro výpočet sémantické podobnosti

Type

conference paper

Language

English

Authors

Otrusina Lubomír, Ing. (DCGM)
Smrž Pavel, doc. RNDr., Ph.D. (DCGM)

Keywords

entity extraction, semantic similarity

Abstract

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.

Annotation

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.

Published

2013

Pages

119–123

Proceedings

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

ISBN

978-1-937284-48-0

Publisher

Association for Computational Linguistics

Place

Atlanta

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"
}