Abstract
We present CARPANTA, an e-mail summarization system that applies a knowledge intensive approach to obtain highly coherent summaries. Robustness and portability are guaranteed by the use of generalpurpose NLP tools, but it also exploits language- and domain-dependent knowledge. The system is evaluated against a corpus of human-judged summaries, reaching satisfactory levels of performance.
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CITATION STYLE
Alonso, L., Castellón, I., Casas, B., & Padró, L. (2004). Knowledge-intensive automatic e-mail summarization in CARPANTA. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 2004-July). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1219044.1219060
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