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Mapping the Natural Language Processing Domain: Experiments using the ACL Anthology

Abstract : This paper investigates the evolution of the computational linguistics domain through a quantitative analysis of the ACL Anthology (containing around 12,000 papers published between 1985 and 2008). Our approach combines complex system methods with natural language processing techniques. We reconstruct the socio-semantic landscape of the domain by inferring a co-authorship and a semantic network from the analysis of the corpus. First, keywords are extracted using a hybrid approach mixing linguistic patterns with statistical information. Then, the semantic network is built using a co-occurrence analysis of these keywords within the corpus. Combining temporal and network analysis techniques, we are able to examine the main evolutions of the field and the more active subfields over time. Lastly we propose a model to explore the mutual influence of the social and the semantic network over time, leading to a socio-semantic co-evolutionary system.
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Submitted on : Saturday, August 16, 2014 - 3:50:20 PM
Last modification on : Friday, April 1, 2022 - 9:42:04 AM
Long-term archiving on: : Thursday, November 27, 2014 - 1:51:04 AM


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  • HAL Id : hal-01056147, version 1
  • PRODINRA : 314112
  • WOS : 000355611004096



Elisa Omodei, Jean-Philippe Cointet, Thierry Poibeau. Mapping the Natural Language Processing Domain: Experiments using the ACL Anthology. LREC 2014, the Ninth International Conference on Language Resources and Evaluation, United Nations Educational Scientific and Cultural Organization (UNESCO). INT., May 2014, Reykjavik, Iceland. pp.2972-2979. ⟨hal-01056147⟩



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