This paper describes a semantic role labeling system that uses features derived from different syntactic views, and combines them within a phrase-based chunking paradigm. For an input sentence, syntactic constituent structure parses are generated by a Charniak parser and a Collins parser. Semantic role labels are assigned to the constituents of each parse using Support Vector Machine classifier...

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...

The robustness of probabilistic parsing generally comes at the expense of grammaticality judgment – the grammaticality of the most probable output parse remaining unknown. Parsers, such as the Stanford or the Reranking ones, can not discriminate between grammatical and ungrammatical probable parses, whether their surface realisations are themselves grammatical or not. In this paper we show that...

This article describes the application of lemmatization and shallow parsing as a linguistically-based alternative to stemming in Text Retrieval, with the aim of managing linguistic variation at both word level and phrase level. Several alternatives for selecting the index terms among the syntactic dependencies detected by the parser are evaluated. Though this article focuses on Spanish, this ap...

This paper gives an overview of the current state of the Prague English Dependency Treebank project. It is an updated version of a draft text that was released along with a CD presenting the first 25% of the PDT-like version of the Penn Treebank – WSJ section (PEDT 1.0). Before the January 2009 release, the conversion from the original phrase structure trees into dependency trees as well as the...

Parsing is an important process of Natural Language Processing (NLP) and Computational Linguistics which is used to understand the syntax and semantics of a natural language (NL) sentences confined to the grammar. Parser is a computational system which processes input sentence according to the productions of the grammar, and builds one or more constituent structures which conform to the grammar...

Syntactic analysis is a fundamental phase in NLP (Natural Language Processing) domain. This phase occurs in several applications and at different levels. Moreover, it wasn’t spilled in domain research, especially for Arabic language. In fact, most of researchers working on Arabic language treated simple structures and neglected complicated ones such as relatives, coordination, ellipse and juxta...

This paper presents ongoing work that aims to improve machine parsing of Faroese using a combination of Faroese and Icelandic training data. We show that even if we only have a relatively small parsed corpus of one language, namely 53,000 words of Faroese, we can obtain better results by adding information about phrase structure from a closely related language which has a similar syntax. Our ex...

In this paper we propose a modelization of the construction of Persian noun and adjectival phrases in a phrase structure grammar. This modelization uses the Interaction Grammar (IG) formalism by taking advantage of the polarities on features and tree descriptions for the various constructions that we studied. The proposed grammar was implemented with a Metagrammar compiler named XMG. A small te...