Summary of the paper

Title Annotated Corpus of Scientific Conference's Homepages for Information Extraction
Authors Piotr Andruszkiewicz and Rafal 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.
Topics Text Mining, Information Extraction, Information Retrieval, Corpus (Creation, Annotation, Etc.)
Full paper Annotated Corpus of Scientific Conference's Homepages for Information Extraction
Bibtex @InProceedings{ANDRUSZKIEWICZ18.828,
  author = {Piotr Andruszkiewicz and Rafal Hazan},
  title = "{Annotated Corpus of Scientific Conference's Homepages for Information Extraction}",
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  month = {May 7-12, 2018},
  address = {Miyazaki, Japan},
  editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {979-10-95546-00-9},
  language = {english}
  }
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