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.
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
User Name : shaun
Posted 07-12-2016 on 12:17:30 AEDT