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Deadline of registration for
Bake-offs: May 1st, 2010
Paper Submission
Deadline:
May 30, 2010
Notice: The registration for
Bake-offs will be closed on May 1st. Before that you can submit your
registrations.
Call for Papers: CIPS-SIGHAN Joint Conference on Chinese Language Processing (CLP2010) http://www.cipsc.org.cn/clp2010/cfp.htm Background and Goals With the rapid of expansion of Chinese language materials on the
Internet, the use of natural language technology as a way of harnessing Chinese
language content is drawing growing interest from researchers around the globe.
The rise of Against this backdrop, the first conference on Chinese Language
Processing (CLP2010) jointly organized by the Chinese Information Processing
Society of China (CIPS) and SIGHAN, will be held on August 28-29, Papers are invited on substantial, original and unpublished research on all aspects of Chinese language processing, including but not limited to: • word segmentation • part-of-speech tagging • syntactic chunking and parsing • lexical semantics • semantic role labeling • word sense disambiguation • lexicon acquisition • corpus development and language resources • evaluation methods and user studies • computational models of discourse • temporal and spatial information processing • sentimental analysis and opinion mining • language generation
Call for
Participation to Bake-off tasks of CLP2010
The CIPS-SIGHAN Joint
Conference on Chinese Language Processing (CLP2010) will also feature four
international bake-offs in Chinese Language Processing, and these
are: • Chinese word segmentation • Chinese Parsing • Chinese Personal Name disambiguation • Chinese Word Sense Induction Task 1:
Chinese Segmentation Built on the successes
of previous SIGHAN-sponsored international bakeoffs, the training and test data
in the CIPS-SIGHAN-2010 word segmentation task will be from different domains to
improve the robustness of current systems. In addition, selected examples for
various test points will be added to expose potential problems that need to be
solved to take the state of the art to the next level. The evaluation will help
improve the performance of automatic segmentation for Chinese by identifying
crucial language resources and new natural language processing algorithms.
Organizers: Liu,
Qun Zhao,
HongMei Task 2:
Chinese Parsing Chinese syntactic
parsing has been a highly active research area in recent years, and there is a
pressing need for a common evaluation platform where different approaches can be
compared and progress can be gauged. The purpose of the CIPS-ParsEval campaign
is to provide such a platform. The first CIPS-ParsEval (CIPS-ParsEval-2009) was
successfully held in This
evaluation includes two sub-tasks: sub-sentence parsing and complete sentence
parsing. For complex sentences, the performance of automatic parsers will be
evaluated at three different levels (phrase level, simple sentence level and
complex sentence level). For each
sub-task, there are two tracks. 1) In the closed track, participants can only
use training data provided by the organizers. 2) In the open track the
participants can use any data source in addition to the training data provided
by the organizers. Entries in the
two tracks will be evaluated separately. In addition,
single systems and combined systems will be evaluated separately in the closed
track. 1) single system: parsers that use a single parsing model to accomplish
the parsing task. 2) system combination: participants are allowed to combine
multiple models to improve performance. Collaborative decoding methods will be
regarded as a combination method. Organizer:
Zhou, Qiang Zhu,
Jingbo Task 3:
Chinese Personal Name disambiguation Personal
names are usually highly ambiguous in text because different people may have the
same name and the same name can be written in different ways. Solving this
problem will have a huge impact on the accuracy of web search and potentially
other natural language applications. There have been two recent Web People
Search (WePS) evaluation campaigns on personal name disambiguation using data
from English language web pages. Chinese personal name disambiguation is
potentially more challenging due to the need for word segmentation, which could
introduce errors that can in large part be avoided in the English task. The
Chinese personal name disambiguation task will thus be an adapted version of the
English WePS task that takes word segmentation into account.
Organizers:
Li, Maggie Huang, Chu-Ren Chen, Ying Jin, Peng Task 4:
Chinese Word Sense Induction The use of
word senses instead of word forms has been shown to improve performance in
information retrieval, information extraction and machine translation. Word
Sense Disambiguation generally requires the use of large-scale manually
annotated lexical resources. Word Sense Induction (WSI) can overcome this
limitation, and it has become one of the most important topics in current
computational linguistics research. Compared with
European languages such as English, the study of WSI and WSD in Chinese is
inadequate. In addition, Chinese word senses have their own characteristics. The
methods that work well in English may not work well in Chinese. This task is
intended to promote the exchange of ideas among participants and improve the
performance of Chinese WSI systems. Organizer:
Sun, Le Dong, Qiang Zhang,
Zhenzhong Please
visit the website (http://www.cipsc.org.cn/clp2010/cfpa.htm) for the
details on these competitions. *********************************************************
Wang Bin
Information Retrieval Group
Center for Advanced Computing Research
Institute of Computing Technology
Chinese Academy of Sciences, Beijing, China
Tel: +86-10-62601350
Fax: +86-10-62601356
Email: wangbin@xxxxxxxxx
Web: http://ir.ict.ac.cn/
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