HPSG–DOP: data–oriented parsing with HPSG
نویسنده
چکیده
منابع مشابه
A Data-Oriented Parsing Model for HPSG
Data Oriented Parsing (DOP) is based on the idea of processing new input by combining fragments (associated with some probabilities) that are extracted from a treebank. In the simplest case these fragments are subparts of simple phrase structure trees (Tree-DOP). The approach is attractive in many ways but the impoverished representational basis is a serious drawback from a linguistic point of ...
متن کاملIntroduction to Data-Oriented Parsing
We present HPSG–DOP, a method for automatically extracting a Stochas-tic Lexicalized Tree Grammar (SLTG) from a HPSG source grammar and a given corpus. 1 Processing of a SLTG is performed by a specialized fast parser. The approach has been tested on a large English grammar and has been shown to achieve additional performance increase compared to parsing with a highly tuned HPSG parser. Our appr...
متن کاملHPSG Parsing with Shallow Dependency Constraints
We present a novel framework that combines strengths from surface syntactic parsing and deep syntactic parsing to increase deep parsing accuracy, specifically by combining dependency and HPSG parsing. We show that by using surface dependencies to constrain the application of wide-coverage HPSG rules, we can benefit from a number of parsing techniques designed for highaccuracy dependency parsing...
متن کاملDesign of Chinese HPSG Framework for Data-Driven Parsing
Data-driven parsing has been a main method for analyzing natural languages. We aim at exploring a data-driven Chinese parser, by basing it on Head-driven Phrase Structure Grammar (HPSG). Unlike for English, there is still no available Chinese HPSG framework. As the first step of our work, we design a Chinese HPSG framework, which can be used as the basis for a practical parser. In this paper, 1...
متن کاملDeep Linguistic Analysis for the Accurate Identification of Predicate-Argument Relations
This paper evaluates the accuracy of HPSG parsing in terms of the identification of predicate-argument relations. We could directly compare the output of HPSG parsing with PropBank annotations, by assuming a unique mapping from HPSG semantic representation into PropBank annotation. Even though PropBank was not used for the training of a disambiguation model, an HPSG parser achieved the accuracy...
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