ULSAna: Universal Language Semantic Analyzer
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43956536" target="_blank" >RIV/49777513:23520/19:43956536 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.26615/978-954-452-056-4_112" target="_blank" >http://dx.doi.org/10.26615/978-954-452-056-4_112</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.26615/978-954-452-056-4_112" target="_blank" >10.26615/978-954-452-056-4_112</a>
Alternative languages
Result language
angličtina
Original language name
ULSAna: Universal Language Semantic Analyzer
Original language description
We present a live cross-lingual system capable of producing shallow semantic annotations of natural language sentences for 51 languages at this time. The domain of the input sentences is in principle unconstrained. The system uses single training data (in English) for all the languages. The resulting semantic annotations are therefore consistent across different languages. We use CoNLL Semantic Role Labeling training data and Universal dependencies as the basis for the system. The system is publicly available and supports processing data in batches; therefore, it can be easily used by the community for research tasks.
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/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
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Natural Language Processing in a Deep Learning World
ISBN
978-954-452-055-7
ISSN
1313-8502
e-ISSN
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Number of pages
6
Pages from-to
967-972
Publisher name
INCOMA Ltd.
Place of publication
Varna
Event location
Varna
Event date
Sep 2, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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