Exploiting frame semantics and frame-semantic parsing for automatic extraction of typological information from descriptive grammars of natural languagesShow others and affiliations
2019 (English)In: International Conference Recent Advances in Natural Language Processing, RANLP / [ed] Galia Angelova, Ruslan Mitkov, Ivelina Nikolova, Irina Temnikova, Shoumen: Incoma Ltd , 2019, p. 1247-1256Conference paper, Published paper (Refereed)
Abstract [en]
We describe a novel system for automatic extraction of typological linguistic information from descriptive grammars of natural languages, applying the theory of frame semantics in the form of frame-semantic parsing. The current proof-of-concept system covers a few selected linguistic features, but the methodology is general and can be extended not only to other typological features but also to descriptive grammars written in languages other than English. Such a system is expected to be a useful assistance for automatic curation of typological databases which otherwise are built manually, a very labor and time consuming as well as cognitively taxing enterprise.
Place, publisher, year, edition, pages
Shoumen: Incoma Ltd , 2019. p. 1247-1256
Series
International Conference Recent Advances in Natural Language Processing, ISSN 1313-8502, E-ISSN 2603-2813
Keywords [en]
Deep learning, Extraction, Natural language processing systems, Automatic extraction, Curation, Frame semantics, Linguistic features, Linguistic information, Natural languages, Proof of concept, Semantic parsing, Semantics
National Category
General Language Studies and Linguistics Computer Sciences Natural Language Processing Specific Languages
Identifiers
URN: urn:nbn:se:his:diva-18049DOI: 10.26615/978-954-452-056-4_143Scopus ID: 2-s2.0-85076469805ISBN: 978-954-452-055-7 (print)ISBN: 978-954-452-056-4 (electronic)OAI: oai:DiVA.org:his-18049DiVA, id: diva2:1381957
Conference
12th International Conference on Recent Advances in Natural Language Processing, RANLP 2019, Varna, Bulgaria, Sep 2–4, 2019
2019-12-302019-12-302025-02-01Bibliographically approved