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Institute of Formal and Applied Linguistics

at Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic


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Publication


Year 2012
Type oral presentation *
Status published
Language English
Author(s) Mareček, David
Title Unsupervised Dependency parsing
Czech title Neřízený závislostní parsing
Institution Institute of Formal and Applied Linguistics
Publisher's city and country Prague, Czech Republic
Venue UFAL, Pargue
Month April
Supported by 2009-2012 GD201/09/H057 (Res Informatica)
English abstract Unsupervised approaches receive considerably growing attention in NLP in the last years and dependency parsing is not an exception. The motivation is simple: Such parsers does not need any manually annotated treebanks and might be able to parse texts in whatever language and domain. Although the parsing quality is still far below the quality of supervised parsers, we can observe their substantial improvements at each NLP conference.
I will present the most popular statistical approaches that are used for automatic induction of grammar from text. In the second part of the talk, I will describe my own method, which is based on Gibbs sampling procedure and which proved to compete with state-of-the-art systems.
Specialization linguistics ("jazykověda")
Confidentiality default – not confidential
Event UFAL seminar
Presentation type in-house seminar/lecture
Open access no
Creator: Common Account
Created: 6/24/12 1:26 PM
Modifier: Common Account
Modified: 6/24/12 1:26 PM
***

Content, Design & Functionality: ÚFAL, 2006–2016. Page generated: Mon Oct 15 18:25:34 CEST 2018

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