The EPIA Track of Natural Language, Text Mining and Applications (NLP-TeMA 2024)
Important date: Paper submission deadline: April 30, 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@fct.unl.pt