Full Title: 11th International Conference on Meaning and Knowledge Representation
Short Title: MKR 2024

Date: 03-Jul-2024 - 05-Jul-2024
Location: Almería, Spain
Contact Person: María Enriqueta Cortés de los Ríos
Meeting Email: mecortes@ual.es
Web Site: http://www.fungramkb.com/events/2024/index.html

Linguistic Field(s): Cognitive Science; Computational Linguistics; Lexicography

Call Deadline: 12-May-2024

Meeting Description:

Natural language understanding systems require a knowledge base provided with formal representations reflecting the structure of human beings' cognitive system. Although surface semantics can be sufficient in some other systems, the construction of a robust knowledge base guarantees its use in most natural language processing applications, thus consolidating the concept of resource reuse. This conference deals with meaning and knowledge representation in the context of natural language understanding from the perspective of theoretical linguistics, computational linguistics, cognitive science, knowledge engineering, artificial intelligence, natural language processing, text analytics or linked data and semantic web technologies.

Following the success of previous editions, the 11th International Conference on Meaning and Knowledge Representation (MKR 2024) will take place in Almería (Spain), July 3, 4 5, 2024, organized by the Faculty of Humanities, Almería University.

We invite 20-minute (plus 10-minute discussion) presentation proposals on the following general and/or specific topics, in English or Spanish. The MKR 2024 conference is a hybrid event, although face-to-face proposals will be prioritized. Authors may submit more than one abstract, but each conference participant will only be allowed to present once. Co-authored works may be presented by any of the participating co-authors.

General topics

At the crossroads between functionalist, cognitivist and/or constructionist approaches
Division of labour of lexical semantics and constructional semantics
Role of metaphor and metonymy and other cognitive operations in meaning construction and grammar
Relationship between semantics, pragmatics and discourse in meaning construction and/or meaning representation
Cognitive modelling and construal
Linked data and semantic web technologies
Knowledge representation and conversational agents
Artificial Intelligence and natural language processing (NLP)
Functional-cognitive approaches to language aware software
Human Language Technologies

Text analytics, mining, and NLP

Sentiment Analysis
Social-Media Text Processing
Web Content Mining
Information Extraction
Linked Data Development/Applications
Parsing, NER, POS tagging
Deep Learning on Unstructured Data
Topic Modelling and Detection
Lexicon Application and Generation
Natural Language Generation

Lexical Constructional Model (LCM) and FunGramKB specific topics

Meaning construction and meaning representation in the LCM
Methodological tools in the LCM (e.g. equipollence)
Syntactic representation in the LCM
The form of lexical and constructional templates in the LCM
Connections between the LCM and FunGramKB
Lexico-grammatical knowledge in FunGramKB
Terminology in FunGramKB
Conceptual representation in FunGramKB
Reasoning in FunGramKB
NLP applications of FunGramKB

Important dates
Conference dates: July 3-5
• Abstract submission deadline: May 12, 2024
• Notification of acceptance: May 22, 2024
• Early-bird registration: until June 3, 2024
• Registration deadline: June 14, 2024

Submissions should include the following information:
1. Author's name
2. Affiliation
3. E-mail address
4. Paper title
5. An abstract with a maximum of 500 words, excluding references
The official language of the conference is English. All paper proposals are assumed to represent original and unpublished work.
Abstracts must conform to the following guidelines: http://www.fungramkb.com/events/2024/docs/abstract_format.pdf

Email for abstract submission: mkr2024@ual.es

Call for Papers:

Abstracts must conform to the following guidelines: http://www.fungramkb.com/events/2024/docs/abstract_format.pdf