In this paper, we describe a grammatical formalism, called DepPattern, to write dependency grammars using patterns of Part of Speech (PoS) tags augmented with lexical and morphological information. The formalism inherits ideas from Sinclair’s work and Pattern Grammar. To properly analyze semi-fixed idiomatic expressions, DepPattern distinguishes between open-choice and idiomatic rules. A grammar is defined as a set of lexical-syntactic rules at different levels of abstraction. In addition, a compiler was implemented so as to generate deterministic and robust parsers from DepPattern grammars. These parsers identify dependencies which can be used to improve corpus-based applications such as information extraction. At the end of this article, we describe an experiment which evaluates the efficiency of a dependency parser generated from a simple DepPattern grammar. In particular, we evaluated the precision of a semantic extraction method making use of a DepPattern-based parser.
Gamallo, Pablo, Marcos Garcia, Cesar Pineiro, Rodrigo Martinez-Castano & Juan C. Pichel
2018. 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS), ► pp. 239 ff.
Zilio, Leonardo, Rodrigo Wilkens & Cédrick Fairon
2018. PassPort: A Dependency Parsing Model for Portuguese. In Computational Processing of the Portuguese Language [Lecture Notes in Computer Science, 11122], ► pp. 479 ff.
Gamallo, Pablo
2017. The role of syntactic dependencies in compositional distributional semantics. Corpus Linguistics and Linguistic Theory 13:2 ► pp. 261 ff.
Gamallo, Pablo
2017. Comparing explicit and predictive distributional semantic models endowed with syntactic contexts. Language Resources and Evaluation 51:3 ► pp. 727 ff.
Garcia, Marcos
2016. Semantic Relation Extraction. Resources, Tools and Strategies. In Computational Processing of the Portuguese Language [Lecture Notes in Computer Science, 9727], ► pp. 141 ff.
Gamallo Otero, Pablo, Marcos Garcia, Iria del Río & Isaac González López
2015. Exploring the effectiveness of linguistic knowledge for biographical relation extraction. Natural Language Engineering 21:4 ► pp. 519 ff.
Treude, Christoph, Carlos A. Prolo & Fernando Figueira Filho
2015. 2015 29th Brazilian Symposium on Software Engineering, ► pp. 179 ff.
Gamallo, Pablo & Marcos Garcia
2012. Extraction of Bilingual Cognates from Wikipedia. In Computational Processing of the Portuguese Language [Lecture Notes in Computer Science, 7243], ► pp. 63 ff.
Gamallo, Pablo & Marcos Garcia
2015. Multilingual Open Information Extraction. In Progress in Artificial Intelligence [Lecture Notes in Computer Science, 9273], ► pp. 711 ff.
Gamallo, Pablo & Marcos Garcia
2016. Entity Linking with Distributional Semantics. In Computational Processing of the Portuguese Language [Lecture Notes in Computer Science, 9727], ► pp. 177 ff.
Gamallo, Pablo & Marcos Garcia
2018. Dependency parsing with finite state transducers and compression rules. Information Processing & Management 54:6 ► pp. 1244 ff.
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