Third Workshop on Computational Models of Reference, Anaphora and Coreference
CRAC 2020 is the Third Workshop on Computational Models of Reference, Anaphora and Coreference, to be held at COLING 2020 (Sep 13 in Barcelona).
About the workshop
Background: The end of Discourse Anaphora and Anaphor Resolution Colloquium series in 2011 scattered the research papers on anaphora/coreference resolution among very different fora until a common event in Computational Linguistics entirely dedicated to this area was revived in 2016 with the Coreference Beyond OntoNotes (CORBON 2016) workshop co-located with NAACL and CORBON 2017 co-located with EACL. In 2018 its focus, perceived as too narrow, was broadened to cover all cases of computational modelling of reference, anaphora, and coreference with CRAC 2018 and CRAC 2019 workshops held again at NAACL. Following the recent advances in application of word embeddings and deep neural networks to various NLP tasks, we believe that the task of cross-lingual coreference resolution can also benefit from the new perspective.
Objectives: The aim of the workshop is to provide a forum where work on all aspects of computational work on anaphora resolution and annotation, including both coreference and types of anaphora such as bridging references resolution and discourse deixis, can be presented.
Topics: The workshop will welcome submissions describing both theoretical and applied computational work on anaphora/coreference resolution, including on languages other than English, and less-researched types of anaphora such as bridging references.
Topics of interest
- Universal Coreference
- Coreference resolution for less-researched languages
- Annotation and interpretation of anaphoric relations, including relations other than identity coreference (e.g., bridging references, reference to abstract entities)
- Investigation of difficult cases of anaphora / coreference and their resolution
- Anaphora / coreference resolution in noisy data (e.g. in speech, social media)
- New applications of coreference resolution
- First call for workshop papers: Dec 1, 2019
- Second call for workshop papers: Mar 18, 2020
- Workshop papers due: May 20, 2020
- Notification of acceptance: Jun 24, 2020
- Camera-ready papers due: Jul 11, 2020
- Workshop dates: Sep 13 , 2020
A special theme of the 2020 edition of the workshop is the Universal Coreference framework – a unified markup scheme applicable to multiple languages, reflecting common cross-linguistic understanding of reference-related phenomena. This theme was motivated by the recent successes of the development of Universal Dependencies. As with Universal Dependencies, the Universal Coreference framework aims to facilitate referential analysis of similarities and idiosyncracies among typologically different languages, support comparative evaluation of coreference resolution systems and enable comparative linguistic studies. The workshop organizers will develop and implement an initial version of the framework and organize a shared task around it as part of CRAC 2020. In addition, the workshop will include a panel discussion on possible improvements of the initial framework based on the outcomes of the shared task.
The data, timetable and more information of the shared task will be distributed in a separate CfP soon.
Program Committee (tentative)
- Antonio Branco, University of Lisbon
- Stephanie Dipper, University of Bochum
- Yulia Grishina, Amazon
- Veronique Hoste, Ghent University
- Ryu Iida, National Institute of Information and Communications Technology (NICT)
- Sandra Kübler, Indiana University
- Sobha Lalitha Devi, AU-KBC Research Center, Anna University of Chennai
- Emmanuel Lassalle, Machina Capital, Paris
- Katja Markert, Heidelberg University
- Pavankumar Reddy Muddireddy, Google
- Costanza Navaretta, University of Copenhagen
- Anna Nedoluzhko, Charles University in Prague
- Michal Novak, Charles University in Prague
- Constantin Orasan, University of Wolverhampton
- Massimo Poesio, Queen Mary University of London
- Marta Recasens, Google
- Yannick Versley, IBM
- Heike Zinsmeister, University of Hamburg
- Maciej Ogrodniczuk, Institute of Computer Science, Polish Academy of Sciences
- Sameer Pradhan, cemantix.org and Vassar College
- Yulia Grishina, Amazon
- Vincent Ng, University of Texas at Dallas