25.406, Calls: Computational Linguistics, Language Acquisition/Japan
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Fri Jan 24 15:47:54 UTC 2014
LINGUIST List: Vol-25-406. Fri Jan 24 2014. ISSN: 1069 - 4875.
Subject: 25.406, Calls: Computational Linguistics, Language Acquisition/Japan
Moderator: Damir Cavar, Eastern Michigan U <damir at linguistlist.org>
Reviews:
Monica Macaulay, U of Wisconsin Madison
Rajiv Rao, U of Wisconsin Madison
Joseph Salmons, U of Wisconsin Madison
Mateja Schuck, U of Wisconsin Madison
Anja Wanner, U of Wisconsin Madison
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Date: Fri, 24 Jan 2014 10:47:32
From: Alexander Clark [alexsclark at gmail.com]
Subject: International Conference on Grammatical Inference
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Full Title: International Conference on Grammatical Inference
Short Title: ICGI 2014
Date: 17-Sep-2014 - 19-Sep-2014
Location: Kyoto, Japan
Contact Person: Alexander Clark
Meeting Email: icgi2014 at googlegroups.com
Web Site: http://www.iip.ist.i.kyoto-u.ac.jp/icgi2014/
Linguistic Field(s): Computational Linguistics; Language Acquisition
Call Deadline: 15-May-2014
Meeting Description:
ICGI 2014 is the 12th edition of the International Conference on Grammatical Inference, held every two years.
The conference will be held in Kyoto University; in Kyoto, Japan, from September 17-19, 2014. Kyoto is one of the most beautiful and historic cities in the world.
The conference is on grammatical inference: the field of machine learning applied to discrete combinatorial structures such as strings, trees or graphs.
Call for Papers:
12th International Conference on Grammatical Inference (ICGI 2014)
September 17-19, 2014, Kyoto University, Kyoto, Japan
http://www.iip.ist.i.kyoto-u.ac.jp/icgi2014/
The conference seeks to provide a forum for presentation and discussion of original research papers on all aspects of grammatical inference including, but not limited to:
- Theoretical aspects of grammatical inference: Learning paradigms, learnability results, complexity of earning.
- Efficient learning algorithms for language classes inside and outside the Chomsky hierarchy. Learning tree and graph grammars. Learning distributions over strings, trees or graphs.
- Grammatical inference from strings or trees paired with semantics representations, or learning by situated agents and robots.
- Theoretical and experimental analysis of different approaches to grammar induction, including artificial neural networks, statistical methods, symbolic methods, information-theoretic approaches, minimum description length, complexity-theoretic approaches, heuristic methods, etc.
- Novel approaches to grammatical inference: Induction by DNA computing or quantum computing, evolutionary approaches, new representation spaces, etc.
- Successful applications of grammatical inference to tasks in natural language processing such as unsupervised parsing, bioinformatics, web interface design, robot navigation, machine translation, pattern recognition, language acquisition, software engineering, computational linguistics, spam and malware detection, cognitive psychology, etc.
Historically the roots of grammatical inference have been in the modelling of first language acquisition by human infants: we especially invite submissions that address this theme, directly or indirectly.
The conference proceedings will be published with the JMLR Workshop and Conference Proceedings series. (http://jmlr.org/proceedings/).
Important Dates:
15 May 2014: Paper submission deadline
1 July 2014: Notification of acceptance
1 August 2014: Camera ready copy
17-19 September 2014: Conference
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