loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Miguel Ballesteros ; Jesús Herrera ; Virginia Francisco and Pablo Gervás

Affiliation: Universidad Complutense de Madrid, Spain

ISBN: 978-989-8425-28-7

Keyword(s): Natural language processing, Machine learning, Dependency parsing, Corpus-based training.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Software Development ; Symbolic Systems

Abstract: Maltparser is a contemporary dependency parsing machine learning–based system that shows great accuracy. However 90% of the Labelled Attachment Score (LAS) seems to be a de facto limit for these kinds of parsers. In this paper we present an n–version dependency parser that will work as follows: we found that there is a small set of words that are more frequently incorrectly parsed so the n-version dependency parser consists of n different parsers trained specifically to parse those difficult words. An algorithm will send each word to each parser and combined with the action of a general parser we will achieve better overall accuracy. This work has been developed specifically for Spanish using Maltparser.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.207.137.4

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Ballesteros, M.; Herrera, J.; Francisco, V. and Gervás, P. (2010). GIVING SHAPE TO AN N–VERSION DEPENDENCY PARSER - Improving Dependency Parsing Accuracy for Spanish using Maltparser.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010) ISBN 978-989-8425-28-7, pages 336-341. DOI: 10.5220/0003116803360341

@conference{kdir10,
author={Miguel Ballesteros. and Jesús Herrera. and Virginia Francisco. and Pablo Gervás.},
title={GIVING SHAPE TO AN N–VERSION DEPENDENCY PARSER - Improving Dependency Parsing Accuracy for Spanish using Maltparser},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)},
year={2010},
pages={336-341},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003116803360341},
isbn={978-989-8425-28-7},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)
TI - GIVING SHAPE TO AN N–VERSION DEPENDENCY PARSER - Improving Dependency Parsing Accuracy for Spanish using Maltparser
SN - 978-989-8425-28-7
AU - Ballesteros, M.
AU - Herrera, J.
AU - Francisco, V.
AU - Gervás, P.
PY - 2010
SP - 336
EP - 341
DO - 10.5220/0003116803360341

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.