Abstract. In this paper we describe in detail two dependency parsing techniques developed and evaluated using the Prague Dependency Treebank 2.0. Then we propose two approaches for combining various existing parsers in order to obtain better accuracy. The highest parsing accuracy reported in this paper is 85.84 %, which represents 1.86 % improvement compared to the best single state-of-the-art parser. To our knowledge, no better result achieved on the same data has been published yet.
The paper presents several ways to measure and evaluate the annotation and annotators, proposed and ...
This paper describes an empirical study of high-performance dependency parsers based on a semi-super...
We present a MIRA-based labeller designed to assign dependency relation labels to edges in a depende...
We describe a conversion of the syntactically annotated part of the Slovak National Corpus into the ...
We present a simple and effective semisupervised method for training dependency parsers. We focus on...
We describe a parser used in the CoNLL 2006 Shared Task, “Multingual Depen-dency Parsing. ” The pars...
This article presents the results of the experiments concerning different typological approaches con...
In this paper we present a system for experimenting with combinations of dependency parsers. The sys...
ii The thesis presents the analysis of dependency parsing systems that are used for parsing German. ...
Slovak Dependency Treebank (Slovenský závislostný korpus) was created as part of the Slovak National...
This paper presents various attempts to accustom the Rule-based Approach (RBA) as originally introdu...
Prague Dependency Treebank (PDT) is one of the top language corpora in the world. The aim of this wo...
The Prague Dependency Treebank 2.0 (PDT 2.0) contains a large amount of Czech texts with complex and...
We introduce a substantial update of the Prague Czech-English Dependency Treebank, a parallel corpus...
We present coreference annotation on parallel Czech-English texts of the Prague Czech-English Depend...
The paper presents several ways to measure and evaluate the annotation and annotators, proposed and ...
This paper describes an empirical study of high-performance dependency parsers based on a semi-super...
We present a MIRA-based labeller designed to assign dependency relation labels to edges in a depende...
We describe a conversion of the syntactically annotated part of the Slovak National Corpus into the ...
We present a simple and effective semisupervised method for training dependency parsers. We focus on...
We describe a parser used in the CoNLL 2006 Shared Task, “Multingual Depen-dency Parsing. ” The pars...
This article presents the results of the experiments concerning different typological approaches con...
In this paper we present a system for experimenting with combinations of dependency parsers. The sys...
ii The thesis presents the analysis of dependency parsing systems that are used for parsing German. ...
Slovak Dependency Treebank (Slovenský závislostný korpus) was created as part of the Slovak National...
This paper presents various attempts to accustom the Rule-based Approach (RBA) as originally introdu...
Prague Dependency Treebank (PDT) is one of the top language corpora in the world. The aim of this wo...
The Prague Dependency Treebank 2.0 (PDT 2.0) contains a large amount of Czech texts with complex and...
We introduce a substantial update of the Prague Czech-English Dependency Treebank, a parallel corpus...
We present coreference annotation on parallel Czech-English texts of the Prague Czech-English Depend...
The paper presents several ways to measure and evaluate the annotation and annotators, proposed and ...
This paper describes an empirical study of high-performance dependency parsers based on a semi-super...
We present a MIRA-based labeller designed to assign dependency relation labels to edges in a depende...