6th Workshop "Recent Advances in RST and Related Formalisms"
In conjunction with INLG 2017, Santiago de Compostela, Spain
September 4th, 2017
Rhetorical Structure Theory, and in general the study of coherence relations, has experienced a revival in the last few years, in English and in other languages (da Cunha 2016; Iruskieta et al. 2016; Matthiessen & Teruya 2016; Zeldes 2016). Multiple sites are now actively engaged in the development of discourse parsers (Feng and Hirst 2014; Joty et al. 2015; Surdeanu et al. 2015; Xue 2016), as a goal in themselves, but also with applications in mind such as sentiment analysis, argumentation mining, summarization, question answering, or machine translation evaluation (Benamara et al., 2016; Gerani et al. 2016; Durrett et al. 2016; Peldszus & Stede 2016; Scarton et al. 2016; Schouten & Frasincar 2016; among many others).

This workshop follows a series of specialized events on Rhetorical Structure Theory and discourse studies, 
organized first in Brazil (2007, 2009, 2011, 2013) as part of Brazilian NLP conferences, and then in Spain in 2015, as part of the Spanish NLP conference (https://sites.google.com/site/workshoprst2015/).

The 6th edition of the workshop will be held on September 4th, 2017, as a satellite meeting of the International Conference on Natural Language Generation (INLG 2017 - https://eventos.citius.usc.es/inlg2017/index) in Spain (Santiago de Compostela). This will be broader workshop, drawing program committee members and participants not only from RST, but from the wider field of discourse parsing and coherence relations, in RST and in related theories and approximations (SDRT, PDTB, CCR). We are interested in applied papers, with a computational orientation, but also in papers that propose to move the field forward with novel theoretical contributions, especially on the following and related topics:

  • Theoretical explorations of RST (segmentation, relation inventory, cognitive status of relations)
  • Relation signalling (connectives, but also any other signals)
  • Discourse parsing, in RST or related theories, moving ahead from shallow to deep discourse parsing
  • (Computational) applications of RST and coherence relations in general


Maite Taboada (Simon Fraser University, Canada)
Iria da Cunha (Universidad Nacional de Educación a Distancia, Spain)
Erick Galani Maziero (Interinstitutional Center for Computational Linguistics, Brazil)
Paula Cardoso (Universidade Federal de Lavras, Brazil)
Juliano Desiderato Antonio (Universidade Estadual de Maringá, Brazil)
Mikel Iruskieta (University of the Basque Country, Spain)

Stergos Afantenos, IRIT - Université Paul Sabatier, France
Farah Benamara, IRIT - Université Paul Sabatier, France

Irene Castellon, Universitat de Barcelona, Spain

Christian Chiarcos, Johann Wolfgang Goethe Universität Frankfurt, Germany

Maria Beatriz Nascimento Decat, Universidade Federal de Minas Gerais, Brazil  

Barbara Di Eugenio, University of Illinois at Chicago, USA

Arantza Diaz de Ilarraza, University of the Basque Country, Spain

Flavius Frasincar, Erasmus University Rotterdam, Netherlands

Maria Eduarda Giering, Universidade do Vale do Rio dos Sinos, Brazil  

Nancy Green, University of North Carolina, USA

Graeme Hirst, University of Toronto, Canada

Kerstin Kunz, Universität Heidelberg, Germany

Ekaterina Lapshinova-Koltunski, Universität des Saarlandes, Germany

Julia Lavid, Universidad Complutense de Madrid, Spain

Jiri Mirovsky, Charles University, Czech Republic

Anna Nedoluzhko, Charles University, Czech Republic

Thiago Pardo, Universidade de São Paulo, Brazil

Lucie Polakova, Charles University, Czech Republic

Gisela Redeker, University of Groningen, Netherlands

Hannah Rohde, University of Edinburgh, UK

Horacio Saggion, Universitat Pompeu Fabra, Spain

Gerardo Sierra, Universidad Nacional Autónoma de México, Mexico

Christian Stab, Technische Universität Darmstadt, Germany

Manfred Stede, Universität Potsdam, Germany

Juan-Manuel Torres, Laboratoire Informatique d'Avignon, France

Nianwen Xue, Brandeis University, USA

Amir Zeldes, Georgetown University, USA