Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
OTRUSINA, L. SMRŽ, P.
Originální název
BUT-TYPED: Using domain knowledge for computing typed similarity
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
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.
Klíčová slova
entity extraction, semantic similarity
Autoři
OTRUSINA, L.; SMRŽ, P.
Rok RIV
2013
Vydáno
30. 6. 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" }