Concordance Comparison as a Means of Assembling Local Grammars

Juliana P C Pirovani (1) , Elias de Oliveira (2) , Eric Laporte (3)

1 Departamento de Computação
2 Departamento de Arquivologia
3 LIGM - Laboratoire d'Informatique Gaspard-Monge

Named Entity Recognition for person names is an important but non-trivial task in information extraction. This article uses a tool that compares the concordances obtained from two local grammars (LG) and highlights the differences. We used the results as an aid to select the best of a set of LGs. By analyzing the comparisons, we observed relationships of inclusion, intersection and disjunction within each pair of LGs, which helped us to assemble those that yielded the best results. This approach was used in a case study on extraction of person names from texts written in Portuguese. We applied the enhanced grammar to the Gold Collection of the Second HAREM. The F-Measure obtained was 76.86, representing a gain of 6 points in relation to the state-of-the-art for Portuguese.

Mots clés: Concordance; Local Grammar; Named Entities Recognition

Domaines: Traitement du texte et du document; Informatique et langage [cs.CL]

Juliana P C Pirovani, Elias de Oliveira, Eric Laporte. Concordance Comparison as a Means of Assembling Local Grammars. Aline Villavicencio; Moreira Viviane; Alberto Abad; Helena Caseli; Pablo Gamallo; Carlos Ramisch; Hugo Ricardo Gonçalo Oliveira; Gustavo Henrique Paetzold. Computational Processing of the Portuguese Language. 13th International Conference, PROPOR 2018, Canela, Brazil, September 24–26, 2018, Proceedings, 11122, Springer, pp.57-65, 2018, Lecture Notes in Artificial Intelligence, 978-3-319-99721-6. ⟨10.1007/978-3-319-99722-3_6⟩. ⟨hal-01890393⟩