Abstract
We propose a new method to extract keywords from texts and categorize these keywords according to their informational value, derived from the analysis of the argumentative goal of the sentences they appear in. The method is applied to the ACL Anthology corpus, containing papers on the computational linguistic domain published between 1980 and 2008. We show that our approach allows to highlight interesting facts concerning the evolution of the topics and methods used in computational linguistics.
Cite
CITATION STYLE
Omodei, E., Guo, Y., Cointet, J. P., & Poibeau, T. (2014). Social and semantic diversity: Socio-semantic representation of a scientific corpus. In Proceedings of the 8th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, LaTeCH 2014 at the 14th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014 (pp. 71–79). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/w14-0610
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