征稿已开启

查看我的稿件

注册已开启

查看我的门票

已截止
活动简介

Constraints are widely used in linguistics, computer science, and psychology. How they are used, however, varies widely according to the research domain: natural language processing, knowledge representation, cognitive modeling, problem solving mechanisms, etc.
Since 2004, the CSLP workshop series has addresses different constraint oriented ways of modelling and treating language, and this time – the 8th CSLP workshop – it is affiliated with the International Conference of Logic Programming, and focuses (non-exclusively) on logic programming based methods.

This workshop addresses the question of how to best integrate constraints from an interdisciplinary perspective and with logic programming as a pivot, in view of powerful and robust human language processing. The topics include, but are not limited to, constraint-based linguistic theories, constraints in human language comprehension and production, Constraint Handling Rules (CHR) and Constraint Handling Rule Grammars (CHRG), context modeling and discourse interpretation, acquisition of constraints, grammar induction through constraints, probabilistic constraint-based reasoning, constraint satisfaction technologies and constraint logic programming – all around the axis of logic programming.

Several years of CSLP workshops (see left menu) aiming at integrating the different approaches on Constraint Solving and Language Processing shed light upon possible common frameworks capable of explaining how constraints play a role in representing, processing and acquiring linguistic information, and this from a formal, technical, and cognitive perspective. Among these frameworks, those that contained logic programming as a main aspect emerged as the most promising ones, e.g.. Constraint Handling Rules (CHR) as an extension to the logic programming language Prolog has added a mechanism for forward-chaining reasoning to complement Prolog鈥檚 standard backwards chaining, goal-directed style. The combination of the two proved to provide a very powerful reasoning framework that creates an extended potential in applying logic programming for language processing and reasoning. Such results allow us to predict that adding logic programming may quite likely jump-start a whole new area of research that stands to revolutionize and revitalize formal logic approaches to NLP, adding robustness and flexibility to the models that can now be achieved, while elegantly marrying efficiency with direct executability.

征稿信息

重要日期

2016-08-01
初稿截稿日期

征稿范围

Topics include, but are not limited to:

  • Linguistic analysis and linguistic theories biased towards (Constraint) Logic Programming

  • Application of Constraint Solving and Constraint Logic Programming for language analysis and production

  • Constraint based modeling, comprehension and production of language

  • Context modelling and discourse interpretation

  • Acquisition of constraints

  • Constraints and learning

  • Cross-theoretical view of the notion of constraint

  • New advances in constraint-based linguistic theories

  • Constraint satisfaction technologies for language processing

  • Models of an applications for other than textual or spoken languages, e.g., sign languages and biological, multimodal human-computer interaction, visual languages

  • Probabilistic constraint-based reasoning for language and context comprehension

留言
验证码 看不清楚,更换一张
全部留言
重要日期
  • 会议日期

    10月17日

    2016

    10月21日

    2016

  • 08月01日 2016

    初稿截稿日期

  • 10月21日 2016

    注册截止日期

联系方式
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询