Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
The Theory and Practice of Discourse Parsing and Summarization
The Theory and Practice of Discourse Parsing and Summarization
Veins Theory: a model of global discourse cohesion and coherence
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
An empirical investigation of the relation between discourse structure and co-reference
COLING '00 Proceedings of the 18th 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
Text Summarization by Sentence Extraction Using Unsupervised Learning
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Thai text coherence structuring with coordinating and subordinating relations for text summarization
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
Terms derived from frequent sequences for extractive text summarization
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Text summarisation in progress: a literature review
Artificial Intelligence Review
ATLAS - human language technologies integrated within a multilingual web content management system
EACL 2012 Proceedings of the Joint Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra)
Application of Text Summarization techniques to the Geographical Information Retrieval task
Expert Systems with Applications: An International Journal
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In this paper we describe a method to obtain summaries focussed on specific characters of a free text. Summaries are extracted from discourse structures which differ from RST structures by the fact that the trees are binary and lack relation names. The discourse tree structures are obtained by combining constraints given by cue-phrases (resembling Marcu's method) with constraints coming from the exploitation of cohesion and coherence properties of the discourse (as proved by Veins Theory). The architecture of a summarisation system is presented on which evaluations intended to evidence the contribution of each module in the final result are performed and discussed.