Special Session on Natural Language Processing in Artificial Intelligence - NLPinAI 2021

19 - 21 February, 2021 - Prague, Czech Republic Within the 11th International Conference on Agents and Artificial Intelligence - ICAART 2021

SCOPE

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 processing 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.

Topics: We invite contributions relevant to the following topics, without limiting to them: - Type theories for applications to language and information processing - 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 natural language processing - Computational models of partiality, underspecification, and context-dependency - Models of situations, contexts, and agents, for applications to language processing - Information about space and time in language models and processing - Models of computation and algorithms for linguistics - Data science in language processing - Machine learning of language - Interdisciplinary methods - Integration of formal, computational, model theoretic, graphical, diagrammatic, statistical, and other related methods - Logic for information extraction or expression in written and spoken language - Language processing based on biological fundamentals of information and languages - Computational neuroscience of language

CHAIR

Roussanka Loukanova Stockholm University Sweden Brief Bio Roussanka Loukanova has master degrees in mathematics from Sofia University, and computer science from Indiana University. She has PhD degree in mathematics from Moscow State University. She has been teaching topics in the areas of mathematics, logic, computability, computer science, and computational linguistics, at Sofia University, Indiana University, University of Minnesota, Illinois Wesleyan University, and Uppsala University. Her research is in the areas of logic, computability, type theories, languages, and information theory. Her major contributions are in recursion theory, computational syntax, semantics, and syntax-semantics interfaces of formal and natural languages. She is a researcher at Stockholm University, Sweden.

SCOPE

The purpose of the International Conference on Agents and Artificial Intelligence is to bring together researchers, engineers and practitioners interested in the theory and applications in the areas of Agents and Artificial Intelligence. Two simultaneous related tracks will be held, covering both applications and current research work. One track focuses on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence.

A substantial amount of research work is ongoing in these knowledge areas, in an attempt to discover appropriate theories and paradigms to use in real-world applications. Much of this important work is therefore theoretical in nature. However there is nothing as practical as a good theory, as Boltzman said many years ago, and some theories have indeed made their way into practice. Informatics applications are pervasive in many areas of Artificial Intelligence and Distributed AI, including Agents and Multi-Agent Systems; This conference intends to emphasize this connection, therefore, authors are invited to highlight the benefits of Information Technology (IT) in these areas. Ideas on how to solve problems using agents and artificial intelligence, both in R&D and industrial applications, are welcome. Papers describing advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of ICAART with an ISBN. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions.

Special sessions, dedicated to case-studies and commercial presentations, as well as tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial are invited to contact the conference secretariat. Additional information can be found at http://www.icaart.org/.

CONFERENCE AREAS

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: 1. AGENTS 2. ARTIFICIAL INTELLIGENCE

AREA 1: AGENTS

• Agent Communication Languages

• Cooperation and Coordination

• Distributed Problem Solving

• Economic Agent Models

• Emotional Intelligence

• Group Decision Making

• Intelligent Auctions and Markets

• Mobile Agents

• Multi-Agent Systems

• Negotiation and Interaction Protocols

• Nep News Detection

• Agent Models and Architectures

• Physical Agents at Work

• Privacy, safety and security

• Programming Environments and Languages

• Robot and Multi-robot Systems

• Self Organizing Systems

• Semantic Web

• Simulation

• Swarm Intelligence

• Task Planning and Execution

• Transparency and Ethical Issues

• Agent Oriented Software Engineering

• Web Intelligence

• Agent Platforms and Interoperability

• Autonomous Systems

• Cloud Computing and Its Impact

• Cognitive Robotics

• Collective Intelligence

• Conversational Agents

AREA 2: ARTIFICIAL INTELLIGENCE

• AI and Creativity

• Deep Learning

• Evolutionary Computing

• Fuzzy Systems

• Governance and Big Data

• Hybrid Intelligent Systems

• Industrial applications of AI

• Intelligence and Cybersecurity

• Intelligent User Interfaces

• Knowledge Representation and Reasoning

• Knowledge-Based System

• Ambient Intelligence

• Machine Learning

• Model-Based Reasoning

• Natural Language Processing

• Neural Networks

• Ontologies

• Pattern Recognition

• Planning and Scheduling

• Social Network Analysis

• Soft Computing

• State Space Search

• Bayesian Networks

• Uncertainty in AI

• Vision and Perception

• Visualization

• Big Data

• Case-Based Reasoning

• Cognitive Systems

• Constraint Satisfaction

• Data Mining

• Data Science

KEYNOTE SPEAKERS Penousal Machado, University of Coimbra, Portugal Carla P. Gomes, Cornell University, United States Michal Pechoucek, Czech Technical University in Prague, Czech Republic Lambert Schomaker, University of Groningen, Netherlands

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