Abstract
We present our state of the art multilingual text summarizer capable of single as well as multi-document text summarization. The algorithm is based on repeated application of TextRank on a sentence similarity graph, a bag of words model for sentence similarity and a number of linguistic pre- and post-processing steps using standard NLP tools. We submitted this algorithm for two different tasks of the MultiLing 2015 summarization challenge: Multilingual Singledocument Summarization and Multilingual Multi-document Summarization.
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CITATION STYLE
Thomas, S., Beutenmüller, C., De La Puente, X., Remus, R., & Bordag, S. (2015). ExB text summarizer. In SIGDIAL 2015 - 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference (pp. 260–269). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w15-4637
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