[Corpora-List] CoNLL-2015 Shared Task: Call for Participation

[Nianwen Xue]

** apologies for cross-posting **

CoNLL-2015 Shared Task on Shallow Discourse Parsing: Call for Participation

Since the first CoNLL Shared Task on NP chunking in 1999, CoNLL shared
tasks over the years have tackled increasingly complex natural language
learning tasks. Early shared tasks focused on identifying text chunks or
named entities that typically correspond to single words or short phrases
within a sentence. Shared tasks on semantic role labeling are concerned
with identifying arguments for individual predicates and characterizing the
relationship between each argument and the predicate. Shared tasks on joint
dependency parsing and semantic role labeling target the syntactic and
semantic structure of the entire sentence, rather than the argument
structure of individual predicates. More recently, shared tasks on
coreference went beyond sentence boundaries and started to deal with
discourse phenomena, and shared tasks on grammatical error correction dealt
with detecting and correcting grammatical errors in texts.

CoNLL-2015 will continue the tradition of having a high-profile shared task
in natural language processing. This year’s shared task will be Shallow
Discourse Parsing (SDP).   A participant system is given English newswire
texts as input and returns discourse relations in the form of a discourse
connective (explicit or implicit) taking two arguments (which can be
clauses, sentences, or multi-sentence segments). Specifically, a
participant system needs to i) identify explicit discourse connectives
(e.g., “because”, “however”, “and”) in a text, ii) predict the sense of the
discourse relations (e.g., “Cause”, “Condition”, “Contrast”), both explicit
and implicit, and iii) identify the spans of text that serve as the two
arguments for each discourse relation. Understanding such discourse
relations is an important step in understanding the discourse structure of
a text and will potentially benefit a wide range of natural language
applications.

Participating teams will be provided with common training data and
auxiliary annotations and linguistic resources. Blind test data will be
used to evaluate the outputs of the participating teams using a common
scoring software and evaluation metric.

In order to receive further information about the shared task, participants
should register their intent to participate by either sending email to
conll15st at gmail.com or filling out the registration form at the shared task
website (http://www.cs.brandeis.edu/~clp/conll15st). The website is open
for registration on January 26, 2015. Although the deadline for
registration is not until March 1, 2015, we recommend participants to
register as early as possible, in order not to miss any information.
Registered participants will be added to a discussion forum where further
details of the shared task will be made available.

Questions about the shared task can be sent to conll15st at gmail.com. More
information about the shared task is available at the shared task home
page: http://www.cs.brandeis.edu/~clp/conll15st.

Important dates:

January 2, 2015: Announcement of the shared task and set up of the shared
task website.

January 26, 2015: registration begins, and release of training set and
scorer.

March 1, 2015: Registration deadline.

April 20, 2015: Test set available.

April 24, 2015: Submission of participating systems.

May 1, 2015: System results due to participants.

May 8, 2015: Shared task system papers due.

May 18, 2015: Reviews due.

May 21, 2015: notification of acceptance.

May 28, 2015: camera-ready version of system papers due.

July 30-31, 2015. CoNLL conference (Beijing China).



Organizers:

Nianwen Xue (chair), Brandeis University

Hwee Tou Ng, National University of Singapore

Sameer Pradhan, Harvard University

Rashmi Prasad, University of Wisconsin at Milwaukee

Christopher Bryant, National University of Singapore

Attapol Rutherford, Brandeis University
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://listserv.linguistlist.org/pipermail/corpora/attachments/20150105/645da7de/attachment.htm>
-------------- next part --------------
_______________________________________________
UNSUBSCRIBE from this page: http://mailman.uib.no/options/corpora
Corpora mailing list
Corpora at uib.no
http://mailman.uib.no/listinfo/corpora