Social and Semantic Diversity: Socio-semantic Representation of a Scientific Corpus

摘要

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.