Result Details
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.
Type
conference paper
Language
English
Authors
Macháček Jakub, Bc.
Abstract
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.
Keywords
supervised learning, semantics, learninig systems, information retrieval, artifiacl intelligence
URL
Published
2016
Pages
301–305
Proceedings
SemEval 2016 - 10th International Workshop on Semantic Evaluation
Conference
10th International Workshop on Semantic Evaluation
ISBN
978-1-941643-95-2
Publisher
Association for Computational Linguistics
Place
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/"
}
Files
Projects
Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets, EU, Horizon 2020, start: 2015-04-01, end: 2017-03-31, completed
Departments