A Gradual Combination of Features for Building Automatic Summarisation Systems

Authors:
Elena Lloret;Manuel Palomar
Affiliations:
Department of Software and Computing Systems, University of Alicante, Alicante, Spain 03690;Department of Software and Computing Systems, University of Alicante, Alicante, Spain 03690
Venue:
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
Year:
2009

Citing 12
Cited 4

Selecting text spans for document summaries: heuristics and metrics

AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
NewsInEssence: summarizing online news topics

Communications of the ACM - The digital society
A compositional context sensitive multi-document summarizer: exploring the factors that influence summarization

SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic summarising: The state of the art

Information Processing and Management: an International Journal
Satisfying information needs with multi-document summaries

Information Processing and Management: an International Journal
QCS: A system for querying, clustering and summarizing documents

Information Processing and Management: an International Journal
Two uses of anaphora resolution in summarization

Information Processing and Management: an International Journal
A system for summary-document similarity in notary domain

DEXA '07 Proceedings of the 18th International Conference on Database and Expert Systems Applications
SUMMaR: Combining Linguistics and Statistics for Text Summarization

Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
An approach to summarizing short stories

EACL '06 Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
Concept-graph based biomedical automatic summarization using ontologies

TextGraphs-3 Proceedings of the 3rd Textgraphs Workshop on Graph-Based Algorithms for Natural Language Processing
A perspective-based approach for solving textual entailment recognition

RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing

Summarizing threads in blogs using opinion polarity

eETTs '09 Proceedings of the Workshop on Events in Emerging Text Types
Improving automatic image captioning using text summarization techniques

TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Towards a unified approach for opinion question answering and summarization

WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
Text summarisation in progress: a literature review

Artificial Intelligence Review

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a Text Summarisation approach, which combines three different features (Word frequency, Textual Entailment, and The Code Quantity Principle) in order to produce extracts from newswire documents in English. Experiments shown that the proposed combination is appropriate for generating summaries, improving the system's performance by 10% over the best DUC 2002 participant. Moreover, a preliminary analysis of the suitability of these features for domain-independent documents has been addressed obtaining encouraging results, as well.