The goal of this report is to summarize our experiments and present the final result of our participation in the CoNLL-X Shared Task 2006. The topic of this year's shared task was multi-lingual dependency parsing. The organizers have prepared 13 existing dependency treebanks so that they all comply to the same markup format. The training and test data for the languages differ in size, granularity and quality, but they have tried to even out differences in the markup format. No additional information is allowed to be used besides the provided training data, forcing the parser to be fully automatic and data-driven. Ideally, the same parser should be trainable for all languages, possibly by adjusting parameters. The main goal is to assign labe...
International audienceThe existence of universal models to describe the syntax of languages has been...
International audienceThis paper presents a new approach to the problem of cross-lingual dependency ...
We describe a parser used in the CoNLL 2006 Shared Task, “Multingual Depen-dency Parsing. ” The pars...
The goal of this report is to summarize our experiments and present the final result of our particip...
Each year the Conference on Com-putational Natural Language Learning (CoNLL)1 features a shared task...
The Conference on Computational Natural Language Learning features a shared task, in which participa...
This paper describes our system about mul-tilingual syntactic and semantic dependency parsing for ou...
In this paper, we describe a two-stage multilingual dependency parser used for the multilingual trac...
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which p...
The Conference on Computational Natural Language Learning features a shared task, in which participa...
Every year, the Conference on Computational Natural Language Learning (CoNLL) features a shared task...
The goal of this report is to summarize our exper-iments and present the nal result of our participa...
Multilingual dependency parsing encapsulates any attempt to parse multiple languages. It can involve...
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which p...
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank a...
International audienceThe existence of universal models to describe the syntax of languages has been...
International audienceThis paper presents a new approach to the problem of cross-lingual dependency ...
We describe a parser used in the CoNLL 2006 Shared Task, “Multingual Depen-dency Parsing. ” The pars...
The goal of this report is to summarize our experiments and present the final result of our particip...
Each year the Conference on Com-putational Natural Language Learning (CoNLL)1 features a shared task...
The Conference on Computational Natural Language Learning features a shared task, in which participa...
This paper describes our system about mul-tilingual syntactic and semantic dependency parsing for ou...
In this paper, we describe a two-stage multilingual dependency parser used for the multilingual trac...
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which p...
The Conference on Computational Natural Language Learning features a shared task, in which participa...
Every year, the Conference on Computational Natural Language Learning (CoNLL) features a shared task...
The goal of this report is to summarize our exper-iments and present the nal result of our participa...
Multilingual dependency parsing encapsulates any attempt to parse multiple languages. It can involve...
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which p...
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank a...
International audienceThe existence of universal models to describe the syntax of languages has been...
International audienceThis paper presents a new approach to the problem of cross-lingual dependency ...
We describe a parser used in the CoNLL 2006 Shared Task, “Multingual Depen-dency Parsing. ” The pars...