Hybrid Conferencee

International Conference on Computational Semantics and Natural Language Understanding (ICCSNLU - 26)

24th - 25th October 2026 | Madrid, Spain

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Madrid conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Madrid, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Madrid."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 10
SDG 10 Reduced Inequalities
Track 01

Advancements in Computational Semantics

This track focuses on the latest methodologies and technologies in computational semantics, emphasizing their applications in social sciences and humanities. Researchers are invited to present innovative approaches to semantic parsing and knowledge representation.

Track 02

Natural Language Understanding in Social Contexts

This session explores the intersection of natural language understanding and social sciences, highlighting how linguistic meaning can be interpreted within various social frameworks. Contributions should address the implications of language processing on societal issues.

Track 03

Machine Learning Techniques for Semantic Analysis

This track examines the application of machine learning techniques in semantic analysis, with a focus on enhancing linguistic understanding. Papers should discuss novel algorithms and their effectiveness in processing complex linguistic structures.

Track 04

Word Sense Disambiguation in Linguistic Research

This session invites contributions on word sense disambiguation methods and their relevance to linguistic research and social sciences. Participants are encouraged to present case studies that demonstrate practical applications of these techniques.

Track 05

Deep Semantics and Cognitive Models

This track investigates the relationship between deep semantics and cognitive models, aiming to bridge the gap between linguistic theory and computational applications. Submissions should explore how cognitive semantics can inform semantic modeling.

Track 06

Computational Pragmatics in Social Interactions

This session focuses on the role of computational pragmatics in understanding social interactions and discourse. Researchers are invited to discuss how pragmatic theories can be applied to enhance natural language understanding.

Track 07

Ontologies and Knowledge Representation in Humanities

This track addresses the use of ontologies for knowledge representation within the humanities, emphasizing their importance in organizing and interpreting information. Contributions should highlight innovative applications and theoretical advancements.

Track 08

Language Resources for Semantic Research

This session explores the development and utilization of language resources in semantic research, including corpora, lexicons, and annotated datasets. Papers should discuss the challenges and solutions in creating robust linguistic resources.

Track 09

AI and Semantics: Transforming Social Sciences

This track examines the transformative impact of artificial intelligence on semantics within the social sciences. Contributions should explore how AI technologies can enhance our understanding of linguistic meaning and social phenomena.

Track 10

Semantic Models and Their Applications

This session invites discussions on various semantic models and their practical applications in linguistics and social sciences. Researchers are encouraged to present empirical studies that demonstrate the effectiveness of these models.

Track 11

Challenges in Language Processing for Social Research

This track addresses the challenges faced in language processing within the context of social research, including issues of ambiguity and context. Papers should propose solutions and methodologies to overcome these obstacles.