Summary of the paper

Title A Multi-layer Annotated Corpus of Argumentative Text: From Argument Schemes to Discourse Relations
Authors Elena Musi, Manfred Stede, Leonard Kriese, Smaranda Muresan and Andrea Rocci
Abstract We present a multi-layer annotated corpus of 112 argumentative microtexts encompassing not only argument structure and discourse relations (Stede et al., 2016), but also argument schemes — the inferential relations linking premises to claims. We propose a set of guidelines for the annotation of argument schemes both for support and attack relations, and a new user-friendly annotation tool. The multi-layer annotated corpus allows us to conduct an initial study of dependencies between discourse relations (according to Rhetorical Structure Theory (Mann and Thompson, 1988)) and argument schemes. Our main contribution is that of offering the first resource for the combined study of (argumentative) discourse relations and inferential moves.
Topics Corpus (Creation, Annotation, Etc.), Tools, Systems, Applications, Discourse Annotation, Representation And Processing
Full paper A Multi-layer Annotated Corpus of Argumentative Text: From Argument Schemes to Discourse Relations
Bibtex @InProceedings{MUSI18.717,
  author = {Elena Musi and Manfred Stede and Leonard Kriese and Smaranda Muresan and Andrea Rocci},
  title = "{A Multi-layer Annotated Corpus of Argumentative Text: From Argument Schemes to Discourse Relations}",
  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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