Publication detail

BUT-TYPED: Using domain knowledge for computing typed similarity

OTRUSINA, L. SMRŽ, P.

Original Title

BUT-TYPED: Using domain knowledge for computing typed similarity

Type

article in a collection out of WoS and Scopus

Language

English

Original 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.

Keywords

entity extraction, semantic similarity

Authors

OTRUSINA, L.; SMRŽ, P.

RIV year

2013

Released

30. 6. 2013

Publisher

Association for Computational Linguistics

Location

Atlanta

ISBN

978-1-937284-48-0

Book

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

Pages from

119

Pages to

123

Pages count

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"
}