论文信息 - Multi-level NER for Portuguese in a CG Framework

Multi-level NER for Portuguese in a CG Framework

This paper describes and evaluates a linguistically based NER system for Portuguese, based on lexico-semantical information, pattern matching and morphosyntactic, context driven Constraint Grammar rules. Preliminary Fscores for cross-domain news texts, when distinguishing six different name types, were 91.85 (raw) and 93.6 (subtyping of ready-chunked proper nouns).

Eckhard Bick

[1] Paulo Rocha,et al. CETEMPúblico: Um corpus de grandes dimensões de linguagem jornalística portuguesa , 2000 .

[2] Maria Liakata,et al. Named Entity Recognition in Greek Texts , 2000, LREC.

[3] Ralph Grishman,et al. NYU: Description of the MENE Named Entity System as Used in MUC-7 , 1998, MUC.

[4] Eckhard Bick,et al. Providing Internet Access to Portuguese Corpora: the AC/DC Project , 2000, LREC.

[5] Richard M. Schwartz,et al. Nymble: a High-Performance Learning Name-finder , 1997, ANLP.

[6] Elaine Marsh,et al. MUC-7 Evaluation of IE Technology: Overview of Results , 1998, MUC.

[7] David D. Palmer,et al. A Statistical Profile of the Named Entity Task , 1997, ANLP.

[8] Marc Moens,et al. Description of the LTG System Used for MUC-7 , 1998, MUC.

[9] Mark Stevenson,et al. Using Corpus-derived Name Lists for Named Entity Recognition , 2000, ANLP.