New Generation Computing - Selected papers from the international workshop on algorithmic learning theory,1990
Inductive logic programming: issues, results and the challenge of learning language in logic
Artificial Intelligence - Special issue on applications of artificial intelligence
Summarization beyond sentence extraction: a probabilistic approach to sentence compression
Artificial Intelligence
Learning Logical Definitions from Relations
Machine Learning
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
Example-based sentence reduction using the hidden markov model
ACM Transactions on Asian Language Information Processing (TALIP)
Learning to paraphrase: an unsupervised approach using multiple-sequence alignment
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Supervised and unsupervised learning for sentence compression
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Unsupervised construction of large paraphrase corpora: exploiting massively parallel news sources
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A Metric for Paraphrase Detection
ICCGI '07 Proceedings of the International Multi-Conference on Computing in the Global Information Technology
Constraint-based sentence compression an integer programming approach
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Biology based alignments of paraphrases for sentence compression
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
An extractive supervised two-stage method for sentence compression
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
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In this paper, we propose a new unsupervised approach to sentence compression based on shallow linguistic processing. For that purpose, paraphrase extraction and alignment is performed over web news stories extracted automatically from the web on a daily basis to provide structured data examples to the learning process. Compression rules are then learned through the application of Inductive Logic Programming techniques. Qualitative and quantitative evaluations suggests that this is a worth following approach, which might be even improved in the future.