Abstract
In this paper, we propose an efficient strategy for summarizing scientific documents in Organic Chemistry that concentrates on numerical treatments. We present its implementation named yachs (Yet Another Chemistry Summarizer) that combines a specific document pre-processing with a sentence scoring method relying on the statistical properties of documents. We show that yachs achieves the best results among several other summarizers on a corpus made of Organic Chemistry articles.
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Boudin, F., Torres-Moreno, JM., Velázquez-Morales, P. (2008). An Efficient Statistical Approach for Automatic Organic Chemistry Summarization. In: Nordström, B., Ranta, A. (eds) Advances in Natural Language Processing. GoTAL 2008. Lecture Notes in Computer Science(), vol 5221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85287-2_9
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DOI: https://doi.org/10.1007/978-3-540-85287-2_9
Publisher Name: Springer, Berlin, Heidelberg
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