Luís Miguel Cabral

REPENTINO – a wide-scope gazetteer for entity recognition in portuguese

In this paper we describe REPENTINO, a publicly available gazetteer intended to help the development of named entity recognition systems for Portuguese. REPENTINO wishes to minimize the problems developers face due to the limited availability of this type of lexical-semantic resources for Portuguese. The data stored in REPENTINO was mostly extracted from corpora and from the web using simple semi-automated methods. Currently, REPENTINO stores nearly 450k instances of named entities divided in more than 100 categories and subcategories covering a much wider set of domains than those usually included in traditional gazetteers. We will present some figures regarding the current content of the gazetteer and describe future work regarding the evaluation of this resource and its enrichment with additional information.

GikiCLEF: expectations and lessons learned

This overview paper is devoted to a critical assessment of GikiCLEF 2009, an evaluation contest specifically designed to expose and investigate cultural and linguistic issues inWikipedia search, with eight participant systems and 17 runs. After providing a maximally short but self contained overview of the GikiCLEF task and participation, we present the open source SIGA system, and discuss, for each of the main guiding ideas, the resulting successes or shortcomings, concluding with further work and still unanswered questions.

How geographic was GikiCLEF?: a GIR-critical review

In this paper we draw a balance of GikiCLEF as far as its appropriateness for the evaluation of GIR systems is concerned. We measure its degree of dealing with geographic matter, and offer GIRA, the final resource, for GIR evaluation purposes.

What Happened to Esfinge in 2007

Esfinge is a general domain Portuguese question answering system which uses the information available on the Web as an additional resource when searching for answers. Other external resources and tools used are a broad coverage parser, a morphological analyser, a named entity recognizer and a Web-based database of word co-occurrences. In this fourth participation in CLEF, in addition to the new challenges posed by the organization (topics and anaphors in questions and the use of Wikipedia to search and support answers), we experimented with a multiple question and multiple answer approach in QA.

Answering Portuguese Questions

Esfinge is a general domain Portuguese question answering system that participated in the last four editions of CLEF. This system uses the Web as a fundamental resource in its architecture, using information redundancy rather than sophisticated annotations of the document collections to retrieve answers. In this paper we describe experiments that took as starting point the version of Esfinge that participated at the evaluation contest CLEF 2007. These experiments consisted in using different types of search patterns to retrieve relevant documents for questions, as this issue (document retrieval) was responsible for most of the errors occurred at CLEF 2007.

SUPeRB - gerindo referências de autores de língua portuguesa

In this paper we describe SUPeRB, a digital librarian helper, which has two specific goals: update and maintain specific publication repositories; and assist in the publishing of publication records, for institutions and individual actors. It does this by gathering bibliographic data from web pages and documents in order to build a local repository of bibliographic data on a specific subject. Also, by collecting information from these resources, SUPeRB assists in building a bibliographic database with specific domain intervenients such as authors, conferences and scientific journals.