Summary of the paper

Title Cohere: A Toolkit for Local Coherence
Authors Karin Sim Smith, Wilker Aziz and Lucia Specia
Abstract We describe COHERE, our coherence toolkit which incorporates various complementary models for capturing and measuring different aspects of text coherence. In addition to the traditional entity grid model (Lapata, 2005) and graph-based metric (Guinaudeau and Strube, 2013), we provide an implementation of a state-of-the-art syntax-based model (Louis and Nenkova, 2012), as well as an adaptation of this model which shows significant performance improvements in our experiments. We benchmark these models using the standard setting for text coherence: original documents and versions of the document with sentences in shuffled order.
Topics Document Classification, Text categorisation, Discourse Annotation, Representation and Processing, Cognitive Methods
Full paper Cohere: A Toolkit for Local Coherence
Bibtex @InProceedings{SIMSMITH16.923,
  author = {Karin Sim Smith and Wilker Aziz and Lucia Specia},
  title = {Cohere: A Toolkit for Local Coherence},
  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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