Summary of the paper

Title Typed Entity and Relation Annotation on Computer Science Papers
Authors Yuka Tateisi, Tomoko Ohta, Sampo Pyysalo, Yusuke Miyao and Akiko Aizawa
Abstract We describe our ongoing effort to establish an annotation scheme for describing the semantic structures of research articles in the computer science domain, with the intended use of developing search systems that can refine their results by the roles of the entities denoted by the query keys. In our scheme, mentions of entities are annotated with ontology-based types, and the roles of the entities are annotated as relations with other entities described in the text. So far, we have annotated 400 abstracts from the ACL anthology and the ACM digital library. In this paper, the scheme and the annotated dataset are described, along with the problems found in the course of annotation. We also show the results of automatic annotation and evaluate the corpus in a practical setting in application to topic extraction.
Topics Corpus (Creation, Annotation, etc.), Semantics, Text Mining
Full paper Typed Entity and Relation Annotation on Computer Science Papers
Bibtex @InProceedings{TATEISI16.784,
  author = {Yuka Tateisi and Tomoko Ohta and Sampo Pyysalo and Yusuke Miyao and Akiko Aizawa},
  title = {Typed Entity and Relation Annotation on Computer Science Papers},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
  year = {2016},
  month = {may},
  date = {23-28},
  location = {Portoro┼ż, Slovenia},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {978-2-9517408-9-1},
  language = {english}
 }
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