Abstract
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.
Cite
CITATION STYLE
Cordeiro, J., Dias, G., & Brazdil, P. (2009). Unsupervised Induction of Sentence Compression Rules. In ACL-IJCNLP 2009 - UCNLG+Sum 2009: 2009 Workshop on Language Generation and Summarisation, Proceedings of the Workshop (pp. 15–22). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1708155.1708160
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