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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" }