Detecting apposition for text simplification in basque

Authors:
Itziar Gonzalez-Dios;María Jesús Aranzabe;Arantza Díaz de Ilarraza;Ander Soraluze
Affiliations:
IXA NLP Group, University of the Basque Country (UPV/EHU), Donostia, Spain;IXA NLP Group, University of the Basque Country (UPV/EHU), Donostia, Spain;IXA NLP Group, University of the Basque Country (UPV/EHU), Donostia, Spain;IXA NLP Group, University of the Basque Country (UPV/EHU), Donostia, Spain
Venue:
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Year:
2013

Citing 8
Cited 0

Constraint Grammar: A Language-Independent System for Parsing Unrestricted Text

Constraint Grammar: A Language-Independent System for Parsing Unrestricted Text
Exploiting strong syntactic heuristics and co-training to learn semantic lexicons

EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Opportunities for Natural Language Processing Research in Education

CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
Supporting the adaptation of texts for poor literacy readers: a text simplification editor for Brazilian Portuguese

EdAppsNLP '09 Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications
Semantic and logical inference model for textual entailment

RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
A machine learning approach to the identification of appositives

IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Mention detection: heuristics for the OntoNotes annotations

CONLL Shared Task '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task
Discovering linguistic patterns using sequence mining

CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we have performed a study on Apposition in Basque and we have developed a tool to identify and to detect automatically these structures. In fact, it is necessary to detect and to code this structures for advanced NLP applications. In our case, we plan to use the Apposition Detector in our Automatic Text Simplification system. This Detector applies a grammar that has been created using the Constraint Grammar formalism. The grammar is based, among others, on morphological features and linguistic information obtained by a named entity recogniser. We present the evaluation of that grammar and moreover, based on a study on errors, we propose a method to improve the results. We also use a Mention Detection System and we combine our results with those obtained by the Mention Detector to improve the performance.