UWB at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity with Distributional Semantics for Chunks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929346" target="_blank" >RIV/49777513:23520/16:43929346 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
UWB at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity with Distributional Semantics for Chunks
Original language description
We introduce a system focused on solving SemEval 2016 Task 2 - Interpretable Semantic Textual Similarity. The system explores machine learning and rule-based approaches to the task. We focus on machine learning and experiment with a wide variety of machine learning algorithms as well as with several types of features. The core of our system consists in exploiting distributional semantics to compare similarity of sentence chunks. The system won the competition in 2016 in the "Gold standard chunk scenario". We have not participated in the "System chunk scenario".
Czech name
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Czech description
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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

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
The 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
803-808
Publisher name
ACL
Place of publication
Stroudsburg
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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