Text Mining and Applications (TeMA)

The 8th Track of Text Mining and Applications (TeMA 2019) 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 recent advances in general IA sub‐fields such as Natural Language Processing (NLP) and Machine Learning (ML), 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 text mining methods, at multiple levels and in multiple dimensions, and often with high commercial value.

Topics of Interest

Topics of interests for the track include, but are not limited to:

  • Text Mining, Natural Language Processing, and Social Media Content Analysis 
    • Entity Recognition and Disambiguation 
    • Relation Extraction 
    • Analysis of Opinions, Emotions and Sentiments 
    • Text Clustering and Classification 
    • Machine Translation Summarization Word Sense Disambiguation
    • Co‐Reference Resolution 
    • Language Modeling 
    • Syntax and Parsing 
    • Distributional Models and Semantics 
    • Multi-Word Units 
    • Lexical Knowledge Acquisition 
    • Spatio‐Temporal Text Mining 
    • Entailment and Paraphrases
    • Natural Language Generation
    • Language Resources: Acquisition and Usage 
    • Cross-Lingual Approaches 
    • Algorithms and Data Structures for Text Mining
  • Applications:
    • Information Retrieval 
    • Information Extraction 
    • Question‐Answering and Dialogue Systems 
    • Text-Based Prediction and Forecasting 
    • Web Content Annotation 
    • Computational Social Science 
    • Computational Journalism 
    • Health and Well‐being 
    • Big Data Analysis

Organizing Committee

  • Joaquim Silva, Universidade Nova de Lisboa, Portugal
  • Pablo Gamallo, Universidade de Santiago de Compustela, Spain
  • Paulo Quaresma, Universidade de Évora, Portugal
  • Irene Rodrigues, Universidade de Évora, Portugal

Program Committee 

  • Adam Jatowt, Universit of Kioto, Japan
  • Alberto Diaz, Universidade Complutense de Madrid, Spain
  • Alberto Simões, Algoritmi Center , University of Minho, Portugal
  • Alexandre Rademaker, IBM / FGV, Brasil
  • Altigran Silva, Universidade Federal do Amazonas, Brasil
  • Antoine Doucet, University of Caen, France
  • António Branco, Universidade de Lisboa, Portugal
  • Béatrice Daille, University of Nantes, France
  • Bruno Martins, Instituto Superior Técnico, Universidade de Lisboa, Portugal
  • Eric de La Clergerie, INRIA, France
  • Fernando Batista, Instituto Universitário de Lisboa, Portugal 
  • Francisco Couto, Faculdade de Ciências, Universidade de Lisboa, Portugal
  • Gabriel Pereira Lopes, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Portugal
  • Gaël Dias, University of Caen Basse, France
  • Hugo Oliveira, Universidade de Coimbra, Portugal
  • Iñaki Vicente , Language Technology, Elhuyar Foundation
  • Irene Rodrigues, Universidade de Évora, Portugal
  • Jesús Vilares, University of A Coruña, Spain
  • Joaquim Ferreira da Silva, Universidade Nova de Lisboa, Portugal
  • Katerzyna Wegrzyn,Wolska, ESIGETEL, France
  • Luisa Coheur, Universidade Técnica de Lisboa, Portugal
  • Manuel Vilares Ferro, University of Vigo, Spain
  • Marcos Garcia, Universidade da Coruña, Spain
  • Mário Silva, Instituto Superior Técnico, Universidade de Lisboa, Portugal
  • Miguel Alonso, Universidade da Coruña, Spain
  • Pablo Gamallo, Santiago de Compustela, Spain
  • Patricia Martín,Rodilla, Universidade da Coruña, Spain
  • Paulo Quaresma, Universidade de Évora, Portugal
  • Pavel Brazdil, Universidade do Porto, Portugal
  • Renata Vieira, Universidade de Évora, Portugal
  • Sérgio Nunes, Universidade do Porto, Portugal