Detail publikace

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

MACHÁČEK, J.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální 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

Autoři

MACHÁČEK, J.

Vydáno

13. 12. 2016

Nakladatel

Association for Computational Linguistics

Místo

San Diego

ISBN

978-1-941643-95-2

Kniha

SemEval 2016 - 10th International Workshop on Semantic Evaluation

Strany od

301

Strany do

305

Strany počet

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/"
}