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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU136366" target="_blank" >RIV/00216305:26230/16:PU136366 - isvavai.cz</a>

Result on the web

<a href="https://www.aclweb.org/anthology/S16-1048/" target="_blank" >https://www.aclweb.org/anthology/S16-1048/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.18653/v1/S16-1048" target="_blank" >10.18653/v1/S16-1048</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

R - Projekt Ramcoveho programu EK

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

SemEval 2016 - 10th International Workshop on Semantic Evaluation

ISBN

978-1-941643-95-2

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

301-305

Publisher name

Association for Computational Linguistics

Place of publication

San Diego

Event location

San Diego

Event date

Jun 16, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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