2017年部分非特定自然语言处理专题会议 Special Session on Partiality, Underspecification, and Natural Language Processing

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活动简介

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) can participate in informational content, or influence its flow as information conveyors and interpreters. Generally, language expression depends on agents' knowledge, reasoning, perspectives, and interactions. The session covers theoretical work, advanced applications, approaches, and techniques for computational models of information and its presentation by language (artificial, human, or natural in other ways). The goal is to promote intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes.

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重要日期

2016-11-15

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The session invites contributions relevant to the following topics, without limitations to them:

Type theories for applications to language and information processing
Computational grammar
Computational semantics
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, computational, model theoretic, graphical, diagrammatic, statistical, and other related methods
Computational models of partiality, underspecification, and context-dependency
Models of situations, contexts, and agents, for applications to language processing
Information retrieval from written and spoken language
Logic Approaches to Information Retrieval and Machine Learning
Bio-information and natural language
Language processing based on biological fundamentals of information and languages
Computational neuroscience of language