AST: New Tool for Logical Analysis of Sentences based on Transparent Intensional Logic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00081301" target="_blank" >RIV/00216224:14330/15:00081301 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
AST: New Tool for Logical Analysis of Sentences based on Transparent Intensional Logic
Original language description
Logical analysis of natural language is able to extract semantic relations that follow the underlying logical formalism. Transparent Intensional Logic (TIL) has been designed to capture even high-order relations between sentence elements and systematically work with all kinds of language references, i.e. extensions, intensions and hyperintensions. In this paper, we introduce the first version of a new tool, called AST, for automatic semantic analysis of sentence. This tool is based on the TIL logic processing rules as they were implemented in the SYNT parser, in its logical analysis module. AST thus shares lexicons and semantic rules in the same format as in the SYNT parser, but allows to build upon the output of other syntactic parsers. AST is designed as a universal semantic analysis tool, which strictly separates the application logic and input data and strives for language independent analysis.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AI - Linguistics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA15-13277S" target="_blank" >GA15-13277S: Hyperintensional logic for natural language analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Ninth Workshop on Recent Advances in Slavonic Natural Language Processing
ISBN
9788026309741
ISSN
2336-4289
e-ISSN
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Number of pages
8
Pages from-to
95-102
Publisher name
Tribun EU
Place of publication
Brno
Event location
Karlova Studánka
Event date
Jan 1, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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