Článek ve sborníku konference

OTRUSINA Lubomír a SMRŽ Pavel. BUT-TYPED: Using domain knowledge for computing typed similarity. In: 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, s. 119-123. ISBN 978-1-937284-48-0.
Jazyk publikace:angličtina
Název publikace:BUT-TYPED: Using domain knowledge for computing typed similarity
Název (cs):BUT-TYPED: Použití doménové znalosti pro výpočet sémantické podobnosti
Strany:119-123
Sborník:Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity
Konference:*SEM 2013 conference
Místo vydání:Atlanta, US
Rok:2013
ISBN:978-1-937284-48-0
Vydavatel:Association for Computational Linguistics
Klíčová slova
entity extraction, semantic similarity
Anotace
Tento příspěvek se analýzou sémantické blízkosti textů v domění umění. Popisuje extrakci entit a relací.
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.
BibTeX:
@INPROCEEDINGS{
   author = {Lubom{\'{i}}r Otrusina and Pavel Smr{\v{z}}},
   title = {BUT-TYPED: Using domain knowledge for computing typed
	similarity},
   pages = {119--123},
   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},
   location = {Atlanta, US},
   publisher = {Association for Computational Linguistics},
   ISBN = {978-1-937284-48-0},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.cs?id=10483}
}

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