Neural Networks for Multi-Word Expression Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10372156" target="_blank" >RIV/00216208:11320/17:10372156 - isvavai.cz</a>
Result on the web
<a href="https://www.aclweb.org/anthology/W/W17/W17-1707.pdf" target="_blank" >https://www.aclweb.org/anthology/W/W17/W17-1707.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Neural Networks for Multi-Word Expression Detection
Original language description
In this paper we describe the MUMULS system that participated to the 2017 shared task on automatic identification of verbal multiword expressions (VMWEs). The MUMULS system was implemented using a supervised approach based on recurrent neural networks using the open source library TensorFlow. The model was trained on a data set containing annotated VMWEs as well as morphological and syntactic information. The MUMULS system performed the identification of VMWEs in 15 languages, it was one of few systems that could categorize VMWEs type in nearly all languages.
Czech name
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Czech description
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Classification
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)
Result continuities
Project
<a href="/en/project/LM2015071" target="_blank" >LM2015071: Language Research Infrastructure in the Czech Republic</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017)
ISBN
978-1-945626-48-7
ISSN
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e-ISSN
neuvedeno
Number of pages
6
Pages from-to
60-65
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
Stroudsburg, PA, USA
Event location
Valencia, Spain
Event date
Apr 4, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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