Detail výsledku
BUTknot at SemEval-2016 task 5: Supervised machine learning with term substitution approach in Aspect Category Detection
MACHÁČEK, J. BUTknot at SemEval-2016 task 5: Supervised machine learning with term substitution approach in Aspect Category Detection. In SemEval 2016 - 10th International Workshop on Semantic Evaluation. San Diego: Association for Computational Linguistics, 2016. p. 301-305. ISBN: 978-1-941643-95-2.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Macháček Jakub, Bc.
Abstrakt
This paper describes an approach used to solve Aspect Category Detection (Subtask 1, Slot 1) of SemEval 2016 Task 5. The core of the presented system is based on Supervised machine learning using bigram bag-of-words model. The performance is enhanced by several preprocessing methods, most importantly by a term substitution technique. The system has reached a very good performance in comparison with other submitted systems.
Klíčová slova
supervised learning, semantics, learninig systems, information retrieval, artifiacl intelligence
URL
Rok
2016
Strany
301–305
Sborník
SemEval 2016 - 10th International Workshop on Semantic Evaluation
Konference
10th International Workshop on Semantic Evaluation
ISBN
978-1-941643-95-2
Vydavatel
Association for Computational Linguistics
Místo
San Diego
DOI
EID Scopus
BibTeX
@inproceedings{BUT163778,
author="Jakub {Macháček}",
title="BUTknot at SemEval-2016 task 5: Supervised machine learning with term substitution approach in Aspect Category Detection",
booktitle="SemEval 2016 - 10th International Workshop on Semantic Evaluation",
year="2016",
pages="301--305",
publisher="Association for Computational Linguistics",
address="San Diego",
doi="10.18653/v1/S16-1048",
isbn="978-1-941643-95-2",
url="https://www.aclweb.org/anthology/S16-1048/"
}
Soubory
Projekty
Sociální sémantická analýza emocí pro inovativní vícejazyčnou analýzu velkých dat, EU, Horizon 2020, zahájení: 2015-04-01, ukončení: 2017-03-31, ukončen
Pracoviště