Attention, intentions, and the structure of discourse
Computational Linguistics
The Theory and Practice of Discourse Parsing and Summarization
The Theory and Practice of Discourse Parsing and Summarization
Combining Classifiers to Improve Part of Speech Tagging: A Case Study for Brazilian Portuguese
International Joint Conference, 7th Ibero-American Conference, 15th Brazilian Symposium on AI, IBERAMIA-SBIA 2000, Open Discussion Track Proceedings on AI
Computing representations of the structure of written discourse
Computing representations of the structure of written discourse
The rhetorical parsing, summarization, and generation of natural language texts
The rhetorical parsing, summarization, and generation of natural language texts
The rhetorical parsing, summarization, and generation of natural language texts
The rhetorical parsing, summarization, and generation of natural language texts
Veins Theory: a model of global discourse cohesion and coherence
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Sentence level discourse parsing using syntactic and lexical information
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Towards Brazilian Portuguese automatic text simplification systems
Proceedings of the eighth ACM symposium on Document engineering
Proceedings of the 26th annual ACM international conference on Design of communication
A comprehensive comparative evaluation of RST-based summarization methods
ACM Transactions on Speech and Language Processing (TSLP)
| Hi-index | 0.00 |
This paper presents the review and evaluation of DiZer – an automatic discourse analyzer for Brazilian Portuguese. Based on Rhetorical Structure Theory, DiZer is a symbolic analyzer that makes use of linguistic patterns learned from a corpus of scientific texts to identify and build the discourse structure of texts. DiZer evaluation shows satisfactory results for scientific texts. In order to test its portability, DiZer is also evaluated with news texts and presents acceptable performance.