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Publication detail
MACHÁČEK, J.
Original Title
BUTknot at SemEval-2016 task 5: Supervised machine learning with term substitution approach in Aspect Category Detection
Type
conference paper
Language
English
Original 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
Authors
Released
13. 12. 2016
Publisher
Association for Computational Linguistics
Location
San Diego
ISBN
978-1-941643-95-2
Book
SemEval 2016 - 10th International Workshop on Semantic Evaluation
Pages from
301
Pages to
305
Pages count
6
URL
https://www.aclweb.org/anthology/S16-1048/
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/" }