34.3437, Calls: The 11th Conference on Language, Discourse, and Cognition

Wed Nov 15 23:05:08 UTC 2023

LINGUIST List: Vol-34-3437. Wed Nov 15 2023. ISSN: 1069 - 4875.

Subject: 34.3437, Calls: The 11th Conference on Language, Discourse, and Cognition

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Date: 15-Nov-2023
From: Ivo Niethammer [ivo_n at gmx.ch]
Subject: The 11th Conference on Language, Discourse, and Cognition

Full Title: The 11th Conference on Language, Discourse, and Cognition
Short Title: CLDC 11

Date: 03-May-2024 - 04-May-2024
Location: National Taiwan University (NTU), Taiwan
Contact Person: Ivo Niethammer
Meeting Email: cldc2024 at gmail.com
Web Site: https://sites.google.com/g.ntu.edu.tw/cldc-11

Linguistic Field(s): Cognitive Science
Subject Language(s): English (eng)

Call Deadline: 05-Jan-2024

Meeting Description:

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.

Call for Papers:

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 "Cognitive Linguistics and Interdisciplinary Studies" as the main
theme with the objective of further exploring 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 detailed 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.

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