In 2024, the 11th Conference on Language, Discourse, and Cognition will be held from 3 to 4 May 2024 at National Taiwan University (NTU), Taiwan. This conference will be hosted by the Graduate Institute of Linguistics, National Taiwan University.
The CLDC aims to provide a forum for researchers interested in language, discourse, and cognition to discuss new research findings, exchange innovative ideas and share the approaches in these fields. Topics relevant to language, discourse, and cognition as well as interdisciplinary studies stimulated over the last few years have given rise to a growing body of critical findings, making CLDC an important event in the field of cognitive linguistics in East Asia.
Consequently, studies presented at the conference CLDC focus on the study of languages from many perspectives, in order to enrich the dialogue between different fields of cognitive science. As such, the main theme of this joint conference is: CONVERSATION ANALYSIS AND ARTIFICIAL INTELLIGENCE, referring to the place language often finds itself in.
General Theme: COGNITIVE LINGUISTICS AND INTERDISCIPLINARY STUDIES
The 11th Conference on Language, Discourse, and Cognition (CLDC 11) provides an international forum that brings together researchers interested in language, discourse, and cognition. The focus of CLDC 11 sets "Conversation Analysis and Artificial Intelligence" as the main theme in the hope that we can further explore various issues bearing on the symbiosis among cognition, language and other disciplines. We would like to invite original abstracts on topics dealing with, but not limited to, the following disciplines or sub-disciplines:
Cognitive Syntax
Cognitive Semantics
Cognitive Pragmatics
Cognitive Sociolinguistics
Corpus and Computational Linguistics
Linguistic Typology
Cognitive Linguistics and Interdisciplinary Studies (Psychology, Neuroscience, Biology, Cognitive Science, Social Science, Computer Science, etc.)
Special Theme: LARGE LANGUAGE MODELS (LLMS) AND DISCOURSE ANALYSIS
The 11th Conference on Language, Discourse, and Cognition (CLDC 11) is poised to present an incisive theme that encapsulates the confluence of "Large Language Models (LLMs) and Discourse Analysis". With the burgeoning development of sophisticated artificial intelligence (AI) frameworks, the exploration into the nuances of language has been remarkably transformed. The intricate knowledge of linguistics and discourse analysis now plays a pivotal role in the advancement and authenticity of conversational constructs within AI systems. Recognizing the critical significance and burgeoning potential of this interdisciplinary nexus, CLDC 11 cordially invites the submission of abstracts that rigorously investigate the interplay between LLMs and Discourse Analysis.
Submissions may encompass a spectrum of theoretical frameworks, applied research, and interdisciplinary pursuits that bridge the gap between intricate linguistic phenomena and AI technology. Prospective topics may include, but are certainly not limited to, the following areas:
Theoretical Implications of LLMs on Discourse Analysis Paradigms
Pragmatic Markers and their Computational Representations
Semantics in Conversation
Modeling Conversational Dynamics using Large Language Models
Optimizing Conversation Recommendations through LLMs
Strategic Deployment of Conversational AI in Varied Contexts
Progress in Language Generation for Conversational Interfaces
Dialogue State Tracking with Enhanced LLMs
Methodologies for Dialogue Evaluation in LLM Contexts
Comprehensive Strategies for Dialogue Data Collection and Datasets Annotation
Slot-based Mechanisms in LLM-driven Conversational AI
Retrieval-based Approaches in LLMs for Conversational AI
Innovations in Generative Conversational AI
Explorations into Multimodal Dialogues and LLM Applications
Contextual Modeling and its Relevance to LLMs in Dialogue Systems
Semantic Representation within the Scope of Large Language Models
Representation Learning for Dialogues in the Realm of LLMs
The committee eagerly anticipates original, cutting-edge contributions that push the boundaries of current research paradigms and pave the way for groundbreaking applications of large language models in the nuanced analysis of discourse.