Automatic Identification of Research Fields in Scientific Papers
June 08, 2018 Β· Declared Dead Β· π International Conference on Language Resources and Evaluation
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Authors
Eric Kergosien, Amin Farvardin, Maguelonne Teisseire, Marie-NoΓ«lle Bessagnet, Joachim SchΓΆpfel, StΓ©phane Chaudiron, Bernard Jacquemin, Annig Le Parc-Lacayrelle, Mathieu Roche, Christian Sallaberry, Jean-Philippe Tonneau
arXiv ID
1806.03144
Category
cs.IR: Information Retrieval
Citations
4
Venue
International Conference on Language Resources and Evaluation
Last Checked
4 months ago
Abstract
The TERRE-ISTEX project aims to identify scientific research dealing with specific geographical territories areas based on heterogeneous digital content available in scientific papers. The project is divided into three main work packages: (1) identification of the periods and places of empirical studies, and which reflect the publications resulting from the analyzed text samples, (2) identification of the themes which appear in these documents, and (3) development of a web-based geographical information retrieval tool (GIR). The first two actions combine Natural Language Processing patterns with text mining methods. The integration of the spatial, thematic and temporal dimensions in a GIR contributes to a better understanding of what kind of research has been carried out, of its topics and its geographical and historical coverage. Another originality of the TERRE-ISTEX project is the heterogeneous character of the corpus, including PhD theses and scientific articles from the ISTEX digital libraries and the CIRAD research center.
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