Syntactic Parser Combination For Improved Dependency Analysis
نویسنده
چکیده
The goal of this article is to present our work about a combination of several syntactic parsers to produce a more robust parser. We have built a platform which allows us to compare syntactic parsers for a given language by splitting their results in elementary pieces, normalizing them, and comparing them with reference results. The same platform is used to combine several parsers to produce a dependency parser that has larger coverage and is more robust than its component parsers. In the future, it should be possible to “compile” the knowledge extracted from several analyzers into an autonomous dependency parser.
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 کاملBilexical Dependencies as an Intermedium for Data-Driven and HPSG-Based Parsing
Bilexical dependencies capturing asymmetrical lexical relations between heads and dependents are viewed as a practical representation of syntax that is well-suited for computation and intelligible for human readers. In the present work we use dependency representations as a bridge between data-driven and grammar-based parsing, both for cross-framework parser comparison and for parser integratio...
متن کاملFunctional Features in Data-driven Dependency Parsing
This article relates results in data-driven dependency parsing of Swedish to linguistic generalizations regarding syntactic argument status, such as tendencies regarding animacy and definiteness, as well as properties more specific to the Scandinavian languages, such as finiteness. We show how datadriven modeling in combination with labeled dependency representations enable the acquisition of f...
متن کاملDependency parser demo
1 Introduction We are concerned with surface-syntactic parsing of running text. Our main goal is to describe a syntactic analysis of sentences using dependency links that show the head-dependent relations between words. The new dependency parser 1 (Tapanainen and J~ir-vinen, 1997; J~rvinen and Tapanainen, 1997) belongs to a continuous effort to apply rule-based methods to natural languages. It ...
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 کامل