Parsing with Generative Models of Predicate-Argument Structure
نویسنده
چکیده
The model used by the CCG parser of Hockenmaier and Steedman (2002b) would fail to capture the correct bilexical dependencies in a language with freer word order, such as Dutch. This paper argues that probabilistic parsers should therefore model the dependencies in the predicate-argument structure, as in the model of Clark et al. (2002), and defines a generative model for CCG derivations that captures these dependencies, including bounded and unbounded long-range dependencies.
منابع مشابه
Data and Models for Statistical Parsing with Combinatory Categorial Grammar
This dissertation is concerned with the creation of training data and the development of probability models for statistical parsing of English with Combinatory Categorial Grammar (CCG). Parsing, or syntactic analysis, is a prerequisite for semantic interpretation, and forms therefore an integral part of any system which requires natural language understanding. Since almost all naturally occurri...
متن کاملRecognising the Predicate-argument Structure of Tagalog
This paper describes research on parsing Tagalog text for predicate–argument structure (PAS). We first outline the linguistic phenomenon and corpus annotation process, then detail a series of PAS parsing experiments.
متن کاملWord-based Japanese typed dependency parsing with grammatical function analysis
We present a novel scheme for wordbased Japanese typed dependency parser which integrates syntactic structure analysis and grammatical function analysis such as predicate-argument structure analysis. Compared to bunsetsu-based dependency parsing, which is predominantly used in Japanese NLP, it provides a natural way of extracting syntactic constituents, which is useful for downstream applicatio...
متن کاملBecause Syntax Does Matter: Improving Predicate-Argument Structures Parsing with Syntactic Features
Parsing full-fledged predicate-argument structures in a deep syntax framework requires graphs to be predicted. Using the DeepBank (Flickinger et al., 2012) and the PredicateArgument Structure treebank (Miyao and Tsujii, 2005) as a test field, we show how transition-based parsers, extended to handle connected graphs, benefit from the use of topologically different syntactic features such as depe...
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 کامل