Introduction

This chapter contains papers presented in the workshop on Text Mining and Applications (TeMA 2005), organized in the framework of the Portuguese Association for Artificial Intelligence conference (EPIA). This workshop is aimed at attracting quality papers and enhancing the knowledge in this area.

27 papers were submitted. From these, 9 papers were selected for publication in this Springer volume. These numbers show current importance of this field in AI and suggest that the organization of equivalent events in future EPIA editions should be pursued.

First paper works on bilingual lexical acquisition from non parallel corpora, applicable in Machine Translation. Second paper describes work on Text Summarization. Third uses Transformation Based learning for NP Identification applied to Portuguese.Fourth uses linguistic knowledge for passage retrieval and question answering. Fifth describes the use of weakly supervised learning for extraction of semantic patterns. Sixth paper proposes a method for semantic indexing and evaluates it on traditional Information Retrieval tasks. Seventh works on unsupervised language independent extraction of multi-word terms, applicable in multiple domains and evaluates their results for Slovene and English. Eighth paper presents a variant of a known method for Anaphora resolution, adapted to Portuguese. Last paper proposes a stemmer for Brazilian Portuguese.

Authors and Affiliations

1. New University of Lisbon, Portugal

   Gabriel Pereira Lopes & Joaquim Ferreira da Silva

2. Open University, Portugal

   Victor Rocio

3. University of Évora, Portugal

   Paulo Quaresma

Editors and Affiliations

1. Portugal Telecom Inovação (PTI), Centro de Informatica e Sistemas da Universidade de Coimbra (CISUC),  

   Carlos Bento

2. Department of Informatics Engineering, Coimbra University, Portugal

   Amílcar Cardoso

3. Centre of Human Language Technology and Bioinformatics, University of Beira Interior, 6201-001, Covilhã, Portugal

   Gaël Dias

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