Naslov
K-Best Spanning Tree Dependency Parsing With Verb Valency Lexicon Reranking

Autori
Agić, Željko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of COLING 2012: Posters / Kay, Martin ; Boitet, Christian - Mumbai : The COLING 2012 Organizing Committee, 2012, 1-12

Skup
24th International Conference on Computational Linguistics (COLING 2012)

Mjesto i datum
Mumbai, Indija, 08.12.2012. - 15.12.2012

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
dependency parsing; k-best spanning trees; verb valency lexicon

Sažetak
A novel method for hybrid graph-based dependency parsing of natural language text is proposed. It is based on k-best maximum spanning tree dependency parsing and evaluation of the spanning trees by using a verb valency lexicon for a given language as a reranking knowledge base. The approach is compared with existing state-of-the- art transition-based and graph-based approaches to dependency parsing. As the proposed generic method was developed specifically for improving the accuracy of Croatian dependency parsing, Croatian Dependency Treebank and CROVALLEX verb valency lexicon are used in the experiment. The suggested approach scored approximately 77.21% LAS, outperforming the tested state-of-the-art approaches by at least 2.68% LAS.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti, Filologija

POVEZANOST RADA