Publication detail

BUTknot at SemEval-2016 task 5: Supervised machine learning with term substitution approach in Aspect Category Detection

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

MACHÁČEK, J.

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/"
}