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TLT 2017 : 15th International Workshop on Treebanks and Linguistic Theories


When Jan 20, 2017 - Jan 21, 2017
Where Bloomington, IN, USA
Submission Deadline Oct 9, 2016
Notification Due Nov 21, 2016
Final Version Due Dec 11, 2016
Categories    NLP

Call For Papers

TLT15: Call for Papers

15th International Workshop on Treebanks and Linguistic Theories

Bloomington, IN

January 20-21 2017

TLT serves as a venue for new and ongoing research on the topic of linguistics and treebanks. The 15th edition of TLT will, for the first time, take place in the United States, at Indiana University, Bloomington, on 20-21 January 2017.

For 15 years now, TLT has served as a venue for new and ongoing high-quality work related to syntactically-annotated corpora, i.e., treebanks; with a focus on all the aspects of treebanking – descriptive, theoretical, formal and computational – but also going beyond treebanks, including other levels of annotation such as frame semantics, coreference or events, to name only a few.

Submissions are invited for papers, posters and demonstrations which present research on treebanks and their intersection with linguistics, natural language processing and other related fields.

TLT15 website:


• Marie-Catherine de Marneffe (Ohio State University, USA)
• James Pustejovsky (Brandeis University, USA)


Treebanks have proved to be crucial resources for very important NLP applications, such as machine translation and information extraction, as well as supporting resources for various NLP tasks, such as high-quality parsing and POS tagging.

More recent trends in treebank-related research have focused on a variety of initiatives, such as annotating deep syntactic, semantic, and syntactic-semantic interface information; (semi)-automatic conversion of existing treebanks into deeper linguistic formats; multilingual and crosslingual treebanking, including 'language-universal' treebanking; enriching treebanks with additional layers of linguistic annotation as well as incorporating world knowledge; dynamic treebanking involving a close connection between grammar-based parsing and manual annotation; designing web services for observing and exploiting theoretically diverse treebanks; and mapping syntactic and semantic knowledge to Linked Open Data (LOD) information.


The workshop invites the submission of papers, posters and software demonstrations on original and unpublished research on the following topics, including, but not limited to:

• Design principles and annotation schemes for treebanks
• The use of treebanks in acquiring linguistic knowledge
• The use of treebanks for NLP applications
• The role of linguistic theories in treebank development
• Treebanks as a knowledge source for linguistic research
• Treebank annotation beyond syntax: semantics, pragmatics and discourse
• Evaluation and quality control of treebanks
• Tools for creation and management of treebanks
• Treebanks for lesser-resourced languages
• Theories, schemas and applications for parallel treebanks
• Standards for treebanks
• (Semi-)automatic methods for creating large treebanks
• Mapping of treebanks to Linked Open Data resources
• Domain-specific treebanks
• The future of treebanks and treebanking
• Multi-word expressions in treebanks
• Language-universal annotation for treebanks and its relation to language-specific annotation


The program for TLT15 will consist of full papers, posters and software demonstrations. Submissions must be anonymized, written in English, and conform to the TLT15 style files available at

Abstracts for full papers should not exceed 5 pages in length, excluding references. Abstracts for posters and software demonstrations should not exceed 3 pages in length, excluding references. (Accepted final papers will be 6-10 pages and 4-6 pages, respectively.)

Please upload your submissions via EasyChair:


• 1 July 2016: Submissions and registration open (tentative)
• 9 October 2016: Deadline for submissions
• 21 November 2016: Notification of acceptance
• 11 December 2016: Final papers due
• 20-21 January 2017: Workshop


• Markus Dickinson (Indiana University, USA; co-chair)
• Jan Hajič (Charles University in Prague, Czech Republic; co-chair)
• Sandra Kübler (Indiana University, USA; co-chair)
• Adam Przepiórkowski (Polish Academy of Sciences, Poland; co-chair)

• Patricia Amaral (Indiana University, USA)
• Emily Bender (University of Washington, USA)
• Eckhard Bick (University of Southern Denmark, Denmark)
• Ann Bies (Linguistic Data Consortium, USA)
• Claire Bonial (University of Colorado at Boulder, USA)
• Gosse Bouma (University of Groningen, The Netherlands)
• Miriam Butt (University of Konstanz, Germany)
• Jinho Choi (Emory University, USA)
• Tomaž Erjavec (Jožef Stefan Institute, Slovenia)
• Koenraad De Smedt (Bergen University, Norway)
• Stefanie Dipper (Ruhr University Bochum, Germany)
• Filip Ginter (University of Turku, Finland)
• Eva Hajičová (Charles University in Prague, Czech Republic)
• Lori Levin (Carnegie Mellon University, USA)
• Teresa Lynn (Dublin City University, Ireland)
• Ryan McDonald (Google Research, USA)
• Adam Meyers (New York University, USA)
• Jiří Mírovský (Charles University in Prague, Czech Republic)
• Kaili Müürisep (University of Tartu, Estonia)
• Joakim Nivre (Uppsala University, Sweden)
• Petya Osenova (Bulgarian Academy of Sciences, Bulgaria)
• Martha Palmer (University of Colorado, USA)
• Marco Passarotti (Catholic University of the Sacred Heart, Italy)
• Agnieszka Patejuk (Polish Academy of Sciences, Poland)
• Marwa Ragheb (Suez Canal University, Egypt)
• Ines Rehbein (University of Potsdam, Germany)
• Alexandr Rosen (Charles University in Prague, Czech Republic)
• Olga Scrivner (Indiana University, USA)
• Mike White (Ohio State University, USA)
• Nianwen Xue (Brandeis University, USA)
• Daniel Zeman (Charles University in Prague, Czech Republic)
• Heike Zinsmeister (University of Hamburg, Germany)


• Noor Abo-Mokh (Indiana University)
• Yue Chen (Indiana University)
• Daniel Dakota (Indiana University)
• Markus Dickinson (Indiana University)
• Sandra Kübler (Indiana University)
• Wen Li (Indiana University)
• Amber Smith (Indiana University)

For more information or questions, please contact or, for local information,

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