Multi-level mining and visualization of scientific text collections
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- dc.contributor.author Accuosto, Pabloca
- dc.contributor.author Ronzano, Francescoca
- dc.contributor.author Ferrés, Danielca
- dc.contributor.author Saggion, Horacioca
- dc.date.accessioned 2017-07-13T09:05:10Z
- dc.date.available 2017-07-13T09:05:10Z
- dc.date.issued 2017
- dc.description Comunicació presentada a: 6th International Workshop on Mining Scientific Publications (WOSP 2017), celebrat el 19 de juny a Toronto, Canada.
- dc.description.abstract We present a system to mine and visualize collections of scientific documents by semantically browsing information extracted from single publications or aggregated throughout corpora of articles. The text mining tool performs deep analysis of document collections allowing the extraction and interpretation of research paper’s contents. In addition to the extraction and enrichment of documents with metadata (titles, authors, affiliations, etc), the deep analysis performed comprises semantic interpretation, rhetorical analysis of sentences, triple-based information extraction, and text summarization. The visualization components allow geographicalbased exploration of collections, topic-evolution interpretation, and collaborative network analysis among others. The paper presents a case study of a bilingual collection in the field of Natural Language Processing (NLP).
- dc.description.sponsorship This work is (partly) supported by the Spanish Ministry of Economy and Competitiveness under the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502) and by the TUNER project (TIN2015- 65308-C5-5-R, MINECO/FEDER, UE).
- dc.format.mimetype application/pdfca
- dc.identifier.citation Accuosto P, Ronzano F, Ferrés D, Saggion H. Multi-level mining and visualization of scientific text collections. In: WOSP 2017 Proceedings of the 6th International Workshop on Mining Scientific Publications; 2017 Jun 19; Toronto, Canada. New York: ACM; 2017. p. 9-16 DOI: 10.1145/3127526.3127529
- dc.identifier.doi http://dx.doi.org/10.1145/3127526.3127529
- dc.identifier.isbn 978-1-4503-5388-5
- dc.identifier.uri http://hdl.handle.net/10230/32535
- dc.language.iso eng
- dc.publisher ACM Association for Computer Machinery
- dc.relation.ispartof WOSP 2017 Proceedings of the 6th International Workshop on Mining Scientific Publications; 2017 Jun 19; Toronto, Canada. New York: ACM; 2017. p. 9-16
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-65308-C5-5-R
- dc.rights © 2017 Association for Computing Machinery
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Language Resources
- dc.subject.keyword Scientific Text Mining
- dc.subject.keyword Information Extraction
- dc.subject.keyword Data Visualization
- dc.subject.keyword PDF Conversion
- dc.subject.keyword Big Scientific Data
- dc.title Multi-level mining and visualization of scientific text collectionsca
- dc.type info:eu-repo/semantics/conferenceObject
- dc.type.version info:eu-repo/semantics/acceptedVersion