Special Issue on Advances in Cognitive Engineering Using Neural Networks
Steven Bressler, Florida Atlantic University, USA
Robert Kozma, University of Memphis, USA
Minho Lee, Kyungpook National University, Korea (South)
Cognitive Engineering is an interdisciplinary approach to the development of principles, methods, tools and techniques to guide the design of computerized systems intended to learn from and support of human cognitive performance. Cognitive Engineering draws on the disciplines of cognitive science, computer science, systems engineering, human computer interaction, human factors, and related fields. The goal of Cognitive Engineering is to develop systems that are easy to learn, easy to use, and lead to improved human-computer system performance.
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First Call for Papers: EMNLP 2016
Conference on Empirical Methods in Natural Language Processing
Austin, Texas, USA
November 2-6, 2016
SIGDAT, the Association for Computational Linguistics’ special interest group on linguistic data and corpus-based approaches to NLP, is pleased to announce that EMNLP 2016 will be held on November 2–6, 2016, in Austin, Texas, USA. The conference includes three days of full paper presentations and invited talks, plus two days consisting of eight workshops and six tutorials.
The conference invites the submission of long and short papers related to empirical methods in natural language processing. Accepted papers will be presented as oral talks or posters. As in recent years, the conference will also include presentations of selected papers accepted by the Transactions of the ACL (http://www.transacl.org/).
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August 11-12, 2016
CoNLL is a top-tier conference, yearly organized by SIGNLL (ACL’s Special Interest Group on Natural Language Learning). This year, CoNLL will be colocated with ACL 2016 in Berlin, Germany.
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中国 乌鲁木齐 2016年8月25-26日
Continue reading “第十二届全国机器翻译研讨会(CWMT 2016)征文通知”