Cross-Tagset Parsing Evaluation for Russian
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10390143" target="_blank" >RIV/00216208:11320/18:10390143 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-69784-0" target="_blank" >http://dx.doi.org/10.1007/978-3-319-69784-0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-69784-0" target="_blank" >10.1007/978-3-319-69784-0</a>
Alternative languages
Result language
angličtina
Original language name
Cross-Tagset Parsing Evaluation for Russian
Original language description
Cross-tagset parsing is based on the substitution of one annotation layer for another while processing data within one language. As often as not, either the native tagger or the dependency parser used in (pre-)annotation of the Gold treebank is not available. The cross-tagset approach allows one to annotate new texts using freely available tools or tools optimized to user's needs. We evaluate the robustness of Russian dependency parsing using different morphological and syntactic tagsets in input and output. A qualitative analysis of errors shows that the cross-substitution of three morphological tagsets and two syntactic tagsets causes only a mild drop in performance.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Digital Transformation and Global Society
ISBN
978-3-030-02842-8
ISSN
1865-0929
e-ISSN
neuvedeno
Number of pages
11
Pages from-to
380-390
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Sankt-Peterburg, Russia
Event date
May 30, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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