UWB at SemEval-2018 Task 3: Irony detection in English tweets

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43957249" target="_blank" >RIV/49777513:23520/18:43957249 - isvavai.cz</a>

Result on the web

<a href="https://www.aclweb.org/anthology/S18-1084" target="_blank" >https://www.aclweb.org/anthology/S18-1084</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.18653/v1/S18-1084" target="_blank" >10.18653/v1/S18-1084</a>

Result language

angličtina

Original language name

UWB at SemEval-2018 Task 3: Irony detection in English tweets

Original language description

This paper describes our system created for the SemEval-2018 Task 3: Irony detection in English tweets. Our strongly constrained system uses only the provided training data without any additional external resources. Our system is based on Maximum Entropy classifier and various features using parse tree, POS tags, and morphological features. Even without additional lexicons and word embeddings we achieved fourth place in Subtask A and seventh in Subtask B in terms of accuracy

Czech name

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Czech description

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Type

O - Miscellaneous

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

<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

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