论文信息 - REPENTINO - A Wide-Scope Gazetteer for Entity Recognition in Portuguese

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.

[1] Satoshi Sekine,et al. Definition, Dictionaries and Tagger for Extended Named Entity Hierarchy , 2004, LREC.

[2] Satoshi Sekine,et al. Extended Named Entity Hierarchy , 2002, LREC.

[3] Ralph Grishman,et al. Discovering Relations among Named Entities from Large Corpora , 2004, ACL.

[4] Mark A. Przybocki,et al. The Automatic Content Extraction (ACE) Program – Tasks, Data, and Evaluation , 2004, LREC.

[5] Luís Sarmento,et al. SIEMÊS - A Named-Entity Recognizer for Portuguese Relying on Similarity Rules , 2006, PROPOR.

[6] Ralph Grishman,et al. Message Understanding Conference- 6: A Brief History , 1996, COLING.

[7] Marius Pasca,et al. Acquisition of categorized named entities for web search , 2004, CIKM '04.

[8] Luís Sarmento. BACO - A large database of text and co-occurrences , 2006, LREC.

[9] Nuno Seco,et al. HAREM: An Advanced NER Evaluation Contest for Portuguese , 2006, LREC.