Partiality, Underspecification, and Natural Language Processing (PUaNLP 2015)

Enseñanza de la lengua, Lingüística

The session invites contributions relevant to the following topics, without limitations to them: - Type theories for applications to language and information processing - Computational grammar of natural language - Computational semantics of natural languages - Computational syntax-semantics interface - Parsing - Multilingual processing - Large-scale grammars of natural languages - Models of computation and algorithms for natural language processing - Integration of interdisciplinary methods, e.g., formal, symbolic, model theoretic, and other computational methods - Computational models of partiality, underspecification, and context-dependency - Models of situations, contexts, and agents, for applications to language processing - Bio-information and natural language - Language processing based on biological fundamentals of information and languages - Computational neuroscience of language Paper Submission: November 17, 2014 Authors Notification: November 24, 2014 Camera Ready and Registration: December 3, 2014 Prospective authors are invited to submit papers in any of the topics listed above. Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates Please also check the Guidelines and Templates. Papers should be submitted electronically via the web-based submission system at: [://www.insticc.org/Primoris]

Computational and technological developments that incorporate natural language are proliferating. Adequate coverage encounters difficult problems related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Furthermore, agents (humans or computational systems) are information conveyors, interpreters, or participate as components of informational content. Generally, language expression depends on agents' knowledge, reasoning, perspectives, and interactions. The session covers theoretical work, approaches, and techniques for computational models of information and its presentation by language. The goal is to promote intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. Computational neuroscience of information and language is of special interest, with existing or potential applications to Artificial Intelligence.

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