Extracting Valences from a Dependency Treebank for Populating the Verb Lexicon of a Portuguese HPSG Grammar
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AMFACECVB" target="_blank" >RIV/00216208:11320/22:MFACECVB - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-98305-5_34" target="_blank" >https://doi.org/10.1007/978-3-030-98305-5_34</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-98305-5_34" target="_blank" >10.1007/978-3-030-98305-5_34</a>
Alternative languages
Result language
angličtina
Original language name
Extracting Valences from a Dependency Treebank for Populating the Verb Lexicon of a Portuguese HPSG Grammar
Original language description
We propose a methodology to populate the verb type hierarchy of a deep computational grammar in the HPSG formalism using syntactic and morphological information from Universal Dependencies (UD) treebanks. It is exemplified by means of the UD Bosque corpus and PorGram, a computational grammar for Portuguese constructed in the LinGO Grammar Matrix framework, but it can be applied to analogous grammars of other languages using other UD treebanks. The main component of the methodology is a Python module that extracts from the annotated sentences the core arguments and other features that are relevant to determine verb valence. This module enables the creation of a Python dictionary that maps valence frames to verb objects. This dictionary facilitates not only determining which frames occur with which verbs, but also detecting annotation errors. The potential of the module for rapid expansion of the lexical coverage of PorGram and corpus annotation error detection is illustrated with concrete examples.
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
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Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational Processing of the Portuguese Language
ISBN
978-3-030-98305-5
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
365-375
Publisher name
Springer International Publishing
Place of publication
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Event location
Cham
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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