Special Session on Computational Linguistics, Information, Reasoning, and AI (CLIRAI)

Scope

Computational and technological developments that incorporate natural language and reasoning methods are proliferating. Adequate coverage encounters difficult problems related to the phenomena of partiality, underspecification, perspectives of agents, and context dependency. These phenomena are signature features of information in nature, natural languages, and reasoning.

The session covers theoretical work, applications, approaches, and techniques for computational models of information, language (artificial, human, or natural in other ways), reasoning. The goal is to promote computational systems and related models of language, thought, reasoning, and other related processes.

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Topics

We invite contributions relevant to the following topics, without being limited to them, across approaches, methods, theories, implementations, and applications:

• Theorem Provers and Assistants
• Model Checkers
• Theories of Computation
• Theories of Information
• Computational Methods of Inferences in Natural Language
• Computational Theories and Systems of Reasoning in Natural Language
• Transfer of reasoning in natural language to theorem provers, or vice versa
• Transfer of reasoning between natural language, theorem provers, model checkers, and various computational assistants
• Translations between natural language of mathematics and formal languages of proof and verification systems
• Controlled Languages of Mathematics
• Computational approaches of Computational Linguistics, e.g., in domain specific areas
• Theories for applications to language, information processing, reasoning
• Type Theories for applications to language, information processing, reasoning
• Computational Grammar
• Computational Syntax
• Computational Semantics of Natural Languages
• Computational Syntax-Semantics Interface
• Interfaces between morphology, lexicon, syntax, semantics, speech, text, pragmatics
• Parsing
• Multilingual Processing
• Large-Scale Grammars of Natural Languages
• Models of computation and algorithms for linguistics, natural language processing, argumentation
• Computational Models of Partiality, Underspecification, and Context-Dependency
• Models of Situations, Contexts, and Agents, for Applications to Computational Linguistics
• Information about Space and Time in Language Models and Processing
• Interdisciplinary Methods
• Integration of formal, computational, model theoretic, graphical, diagrammatic, statistical, and other related methods
• Logic for information extraction or expression in written, spoken, and other modes of language
• Logic for information integrations of diagrams with language
• Computational Models of Argumentations
• Large Language Models (LLM)
• Data Science in Language Processing
• Machine Learning of Language and Reasoning
• Interactive Computation, Reasoning, Argumentation
• Computation with heterogeneous information
• Reasoning with heterogeneous and/or inconsistent information
• Dialog and other Interactions
• Interdisciplinary approaches to language, computation, reasoning, memory
• Computational processing of information and languages in various specific areas and domains, e.g., in forensics, medical sciences, healthcare, jurisdiction, law, etc.
• Applications, e.g., to governing, education, business, economy, justice, health, medical sciences, etc.
• Computational processing language based on natural fundamentals of information and languages
• Computational neuroscience of language
• etc.