Annotated Corpus of Scientific Conference's Homepages for Information Extraction

Piotr Andruszkiewicz , Rafał Hazan

Abstract

In this paper, we present a new corpus that contains 943 homepages of scientific conferences, 14794 including subpages, with annotations of interesting information: name of a conference, its abbreviation, place, and several important dates; that is, submission,notification, and camera ready dates. The topics of conferences included in the corpus are equally distributed over five areas: artificial intelligence, natural language processing, computer science, telecommunication, and image processing. The corpus is publicly available. Beside the characteristics of the corpus, we present the results of information extraction from the corpus using SVM and CRF models as we would like this corpus to be considered a reference data set for this type of task.
Author Piotr Andruszkiewicz (FEIT / IN)
Piotr Andruszkiewicz,,
- The Institute of Computer Science
, Rafał Hazan (FEIT / IN)
Rafał Hazan,,
- The Institute of Computer Science
Pages3716-3722
Publication size in sheets0.5
Book Calzolari Nicoletta, Choukri Khalid, Cieri Christopher, Declerck Thierry, Goggi Sara, Hasida Koiti, Isahara Hitoshi, Maegaard Bente, Mariani Joseph, Mazo Hélène, Moreno Asuncion, Odijk Jan, Piperidis Stelios, Tokunaga Takenobu (eds.): Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018, 2018, European Language Resources Association, ISBN 979-10-95546-00-9, 4606 p.
Keywords in Englishannotated corpus, scientific conference’s homepages, information extraction
URL https://dblp.uni-trier.de/rec/bibtex/conf/lrec/AndruszkiewiczH18
projectDevelopment of new algorithms in the areas of software and computer architecture, artificial intelligence and information systems and computer graphics . Project leader: Arabas Jarosław, , Phone: +48 22 234 7432, start date 01-06-2017, end date 31-10-2018, II/2017/DS/1, Completed
WEiTI Działalność statutowa
Languageen angielski
File
Andruszkiewicz_Hazan_Annotated_ Corpus_LREC2018.pdf 151.84 KB
Score (nominal)15
ScoreMinisterial score = 15.0, 10-12-2018, BookChapterMatConf
Ministerial score (2013-2016) = 15.0, 10-12-2018, BookChapterMatConf
Citation count*
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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