Semi-automatic Verb Valence Frame Assignment through VerbNet Classification
An approach to cross-linguistic transfer of verb valence frames for Czech and Croatian language using VerbNet syntactic-semantic classification is presented. Confronting Czech-Croatian pairs of valence frames for each syntacticsemantic class, we extracted the semantic part of the Czech valence frame...
Permalink: | http://skupni.nsk.hr/Record/ffzg.KOHA-OAI-FFZG:313359/Details |
---|---|
Matična publikacija: |
Text, Speech, and Dialogue : 16th International Conference, TSD 2013, Pilsen, Czech Republic, September 1-5, 2013. : Proceedings Lecture notes in Computer Science, Volume 8082 |
Glavni autori: | Mikelić Preradović, Nives (-), Boras, Damir (Author) |
Vrsta građe: | Članak |
Jezik: | eng |
Online pristup: |
http://link.springer.com/book/10.1007/978-3-642-40585-3/page/1 |
LEADER | 02262naa a2200253uu 4500 | ||
---|---|---|---|
008 | 131111s2013 xx eng|d | ||
020 | |a 9783-642-40584-6 | ||
035 | |a (CROSBI)642232 | ||
040 | |a HR-ZaFF |b hrv |c HR-ZaFF |e ppiak | ||
100 | 1 | |9 449 |a Mikelić Preradović, Nives | |
245 | 1 | 0 | |a Semi-automatic Verb Valence Frame Assignment through VerbNet Classification / |c Mikelić Preradović, Nives ; Boras, Damir. |
246 | 3 | |i Naslov na engleskom: |a Semi-automatic Verb Valence Frame Assignment through VerbNet Classification | |
300 | |a 492-500 |f str. | ||
520 | |a An approach to cross-linguistic transfer of verb valence frames for Czech and Croatian language using VerbNet syntactic-semantic classification is presented. Confronting Czech-Croatian pairs of valence frames for each syntacticsemantic class, we extracted the semantic part of the Czech valence frames and applied the subcategorization features to Croatian with minor (mainly syntactic) modifications. The encouraging results suggest that other similar (Slavic) languages could benefit from the same approach. It is shown that even for languages that do not have sufficiently developed NLP resources that are highly relevant for verb subcategorization (such asWordNet), it is possible to obtain valence lexicon applying small number of rules for cross-linguistic syntactic transfer and using Levin’s verb classes. | ||
536 | |a Projekt MZOS |f 130-1301679-1380 | ||
546 | |a ENG | ||
690 | |a 5.04 | ||
693 | |a VerbNet classification, verb subcategorization, frame assignement, Croatian language, Czech language. |l hrv |2 crosbi | ||
693 | |a VerbNet classification, verb subcategorization, frame assignement, Croatian language, Czech language. |l eng |2 crosbi | ||
773 | 0 | |t Text, Speech, and Dialogue : 16th International Conference, TSD 2013, Pilsen, Czech Republic, September 1-5, 2013. : Proceedings |d Heidelberg : Springer, 2013 |k Lecture notes in Computer Science, Volume 8082 |h 601 |n Habernal, Ivan ; Matoušek, Václav |z 978-3-642-40584-6 |g str. 492-500 |a International Conference, TSD 2013 (16 ; 2013 ; Pilsen, Czech Republic) | |
700 | 1 | |9 418 |a Boras, Damir |4 aut | |
856 | |u http://link.springer.com/book/10.1007/978-3-642-40585-3/page/1 | ||
942 | |c RZB |t 1.08 |u 2 |z Znanstveni | ||
999 | |c 313359 |d 313357 |