bRol: The Parser of Syntactic and Semantic Dependencies for Basque
نویسندگان
چکیده
This paper presents bRol, the first fully automatic system to be developed for the parsing of syntactic and semantic dependencies in Basque. The parser has been built according to the settings established for the CoNLL-2009 Shared Task (Hajič et al., 2009), therefore, bRol can be thought of as a standard parser with scores comparable to the ones reported in the shared task. A second-order graphbased MATE parser has been used as the syntactic dependency parser. The semantic model, on the other hand, uses the traditional four-stage SRL pipeline. The system has a labeled attachment score of 80.51%, a labeled semantic F1 of 75.10, and a labeled macro F1 of 77.80.
منابع مشابه
Feature Engineering in Persian Dependency Parser
Dependency parser is one of the most important fundamental tools in the natural language processing, which extracts structure of sentences and determines the relations between words based on the dependency grammar. The dependency parser is proper for free order languages, such as Persian. In this paper, data-driven dependency parser has been developed with the help of phrase-structure parser fo...
متن کاملبرچسبزنی نقش معنایی جملات فارسی با رویکرد یادگیری مبتنی بر حافظه
Abstract Extracting semantic roles is one of the major steps in representing text meaning. It refers to finding the semantic relations between a predicate and syntactic constituents in a sentence. In this paper we present a semantic role labeling system for Persian, using memory-based learning model and standard features. Our proposed system implements a two-phase architecture to first identify...
متن کاملبرچسبزنی خودکار نقشهای معنایی در جملات فارسی به کمک درختهای وابستگی
Automatic identification of words with semantic roles (such as Agent, Patient, Source, etc.) in sentences and attaching correct semantic roles to them, may lead to improvement in many natural language processing tasks including information extraction, question answering, text summarization and machine translation. Semantic role labeling systems usually take advantage of syntactic parsing and th...
متن کاملStudying impressive parameters on the performance of Persian probabilistic context free grammar parser
In linguistics, a tree bank is a parsed text corpus that annotates syntactic or semantic sentence structure. The exploitation of tree bank data has been important ever since the first large-scale tree bank, The Penn Treebank, was published. However, although originating in computational linguistics, the value of tree bank is becoming more widely appreciated in linguistics research as a whole. F...
متن کاملA Second-Order Joint Eisner Model for Syntactic and Semantic Dependency Parsing
We present a system developed for the CoNLL-2009 Shared Task (Hajič et al., 2009). We extend the Carreras (2007) parser to jointly annotate syntactic and semantic dependencies. This state-of-the-art parser factorizes the built tree in second-order factors. We include semantic dependencies in the factors and extend their score function to combine syntactic and semantic scores. The parser is coup...
متن کامل