shared task
1st Shared Task on Native Language Identification
Submitted by Joel Tetreault on 4 January 2013 - 9:32pmSHARED TASK DESCRIPTION
We are excited to organize the first shared task in Native Language Identification (NLI) which is the task of identifying the native language (L1) of a writer based solely on a sample of their writing. The task is framed as a classification problem where the set of L1s is known a priori. Most work has focused on identifying the native language of writers learning English as a second language. This problem has been growing in popularity and has motivated several ACL, NAACL and EMNLP papers, as well as a master's and doctorate thesis.
Generation Challenges 2012
Submitted by Albert Gatt on 1 March 2012 - 9:08amGENERATION CHALLENGES 2012
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To be held in conjunction with INLG 2012, 30 May-01 June 2012, Starved Rock, IL, USA.
Over the past five years, there has been a lot of activity in
connection with shared tasks in Natural Language Generation (NLG).
Six separate sets of shared tasks each with its own data and team of
organisers have so far been run: TUNA (Gatt et al.), GREC (Belz et
al.), GIVE (Koller et al.), QG (Rus et al.), HOO (Dale and Kilgarriff)
SR (Belz, White et al.). The Pilot Attribute Selection for
*SEM Shared Task 2012
Submitted by Suresh Manandhar on 12 October 2011 - 12:28pm*SEM Shared Task 2012: Call for Proposals
ACL special interest groups SIGLEX and SIGSEM invites proposals for the *SEM Shared Task 2012.
GIVE-2.5 - Generating Instructions in Virtual Environments - Last Call for System Submissions
Submitted by Kristina I Stri... on 9 February 2011 - 9:55amGIVE-2.5: Last Call for Participation/System Submissions
http://www.give-challenge.org/research/
Part of Generation Challenges 2011
Endorsed by SIGGEN and SIGSEM
We invite you to participate in the next edition of the Challenges on Generating Instructions in Virtual Environments (GIVE) by submitting an NLG system for the GIVE scenario. In this scenario, a human user performs a "treasure hunt" task in a virtual 3D environment. The NLG system's job is to generate, in real time, a sequence of natural-language instructions that will help the user perform this task.
Patent Machine Translation Task (PatentMT) at NTCIR-9
Submitted by Michael Paul on 21 November 2010 - 10:34pm-------------------------------------------------------------------------
Patent Machine Translation Task (PatentMT) at NTCIR-9
Call for Participation
December 6-9, 2011, Tokyo, Japan
http://ntcir.nii.ac.jp/PatentMT/
- A Chinese to English subtask newly added
- Human evaluations will be carried out
- Parallel corpora provided: 1 million Chinese-English and
3 million Japanese-English sentence pairs
