The EPIA Track of Natural Language, Text Mining and Applications (NLP-TeMA
2024)
*Important dates*
Paper submission extended deadline *May 20, 2024 *
Notification of paper acceptance June 20, 2024
Camera-ready papers deadline July 15, 2024
Conference dates September 3-6, 2024
The EPIA Conference on Artificial Intelligence (AI) is a well-established
European conference in the field of AI. The 23st edition, EPIA 2024, will
take place in Viana do Castelo from 3th to 6th of September, 2024. As in
previous editions, this international conference is hosted with the
patronage of the Portuguese Association for Artificial Intelligence (APPIA).
The Track of Natural Language, Text Mining and Applications (NLP-TeMA 2024)
of EPIA is a forum for researchers working in Human Language Technologies,
i.e. Natural Language Processing (NLP), Computational Linguistics (CL),
Natural Language Engineering (NLE), Text Mining (TM), Information Retrieval
(IR), and related areas.
The most natural form of sharing knowledge is indeed through textual
documents. Especially on the Web, a huge amount of textual information is
openly published every day, on many different topics and written in natural
language, thus offering new insights and many opportunities for innovative
applications of Human Language Technologies.
Following advances in general AI sub-fields such as NLP, Machine Learning
(ML) and Deep Learning (DL), text mining is now even more valuable as tool
for bridging the gap between language theories and effective use of natural
language contents, for harnessing the power of semi-structured and
unstructured data, and to enable important applications in real-world
heterogeneous environments. Both hidden and new knowledge can be discovered
by using NLP and Text Mining methods, at multiple levels and in multiple
dimensions, and often with high commercial value.
Topics of Interest
Natural Language Processing:
Language and Cognitive Modeling
Tagging, Chunking and Parsing
Morphology and Word Segmentation
Natural Language Generation
Discourse and Pragmatics
Sentence-level Semantics and Text Inference
Language Resources: Acquisition and Usage. Lexical Knowledge Acquisition
Entailment and Paraphrases
Entity Recognition and Word Sense Disambiguation
Natural Language Understanding
Language Modeling
Mathematical Properties of Language
NLP for Low-Resource Languages
Text Mining and Applications:
Text Clustering, Classification and Summarization
Sentiment Analysis and Argument Mining
Computational Social Science
Multi-Word Units
Machine Learning for NLP and Text Mining
Spatio-Temporal and Big Text Mining
Cross-Lingual Approaches
Algorithms and Data Structures for Text Mining
Information Retrieval and Information Extraction
Question-Answering and Dialogue Systems
Text-Based Prediction and Forecasting
Web Content Annotation
Health/Biomedical/Legal and other Text Mining Applications
The Track Organizing Committee:
Joaquim Silva
Pablo Gamallo
Irene Rodrigues
Paulo Quaresma
Alípio Jorge
Joaquim Ferreira da Silva
Departamento de Informática, Nova School of Science and Technology, Quinta
da Torre, 2829-516 Caparica, Portugal.
Tel: +351 21 294 8536 ext. 10732 Fax; +351 21 294 8541; e-mail:
jfs(a)fct.unl.pt