The 21st International Workshop on Treebanks and Linguistic Theories (TLT 2023) will take place at Georgetown University in Washington, D.C., as part of the Georgetown University Round Table 2023 (GURT 2023).
TLT serves as a forum 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.
The Georgetown University Round Table on Linguistics (GURT) is a peer-reviewed annual linguistics conference held continuously since 1949 at Georgetown University in Washington DC, with topics and co-located events varying from year to year. Under an overarching theme of 'Computational and Corpus Linguistics', GURT 2023 will feature four workshops focused on computational and corpus approaches to syntax: UDW, Depling, TLT, and CxGs+NLP. Talks will take place in plenary sessions to promote cross-fertilization of ideas across subcommunities. Proceedings will be published in the ACL Anthology.
In order to support rich discussions and networking with minimal overhead and cost, GURTwe plan for GURT will be primarily an in-person event; we will, however, accommodate a limited number of live/synchronous remote presentations, prioritizing those with circumstances that prevent travel. University policies regarding COVID safety will be in force during the event.
Georgetown University is located in a historic neighborhood in the heart of the nation’s capital. The city is a premier tourist destination, and the region is served by Reagan National (DCA), Dulles (IAD), and Baltimore-Washington (BWI) airports.
TLT Workshop Chairs
- Daniel Dakota (Indiana University)
- Kilian Evang (Heinrich Heine University Düsseldorf)
- Sandra Kübler (Indiana University)
- Lori Levin (Carnegie Mellon University)
GURT Organizing Committee
- Nathan Schneider (Georgetown University)
- Amir Zeldes (Georgetown University)
Daniel Dakota (email@example.com)