The Conference on Computational Natural Language Learning is accompanied every year by a shared task whose purpose is to promote natural language processing applications and evaluate them in a standard setting. In 2008 the shared task was dedicated to the joint parsing of syntactic and semantic dependencies. This shared task not only unifies the shared tasks of the previous four years under a unique dependency-based formalism, but also extends them significantly: this year’s syntactic dependencies include more information such as named-entity boundaries; the semantic dependencies model roles of both verbal and nominal predicates. In this paper, we define the shared task and describe how the data sets were created. Furthermore, we report and...
This paper describes our system about mul-tilingual syntactic and semantic dependency parsing for ou...
Semantic dependency parsing is the task of mapping natural language sentences into representations o...
Current investigations in data-driven models of parsing have shifted from purely syntactic analysis ...
Our system for the CoNLL 2008 shared task uses a set of individual parsers, a set of stand-alone sem...
This paper describes a system that jointly parses syntactic and semantic dependencies, presented at ...
We propose a system to carry out the joint pars-ing of syntactic and semantic dependencies in multip...
The Conference on Computational Natural Language Learning features a shared task, in which participa...
In this master’s thesis we designed, implemented and evaluated a novel joint syntactic and semantic ...
In this master’s thesis we designed, implemented and evaluated a novel joint syntactic and semantic ...
Our CoNLL 2009 Shared Task system in-cludes three cascaded components: syntactic parsing, predicate ...
The Conference on Computational Natural Language Learning features a shared task, in which participa...
Our CoNLL 2009 Shared Task system in-cludes three cascaded components: syntactic parsing, predicate ...
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which p...
This paper presents our contribution in the closed track of the 2008 CoNLL Shared Task. To tackle th...
In this paper we introduce a joint arc-factored model for syntactic and semantic dependency parsing....
This paper describes our system about mul-tilingual syntactic and semantic dependency parsing for ou...
Semantic dependency parsing is the task of mapping natural language sentences into representations o...
Current investigations in data-driven models of parsing have shifted from purely syntactic analysis ...
Our system for the CoNLL 2008 shared task uses a set of individual parsers, a set of stand-alone sem...
This paper describes a system that jointly parses syntactic and semantic dependencies, presented at ...
We propose a system to carry out the joint pars-ing of syntactic and semantic dependencies in multip...
The Conference on Computational Natural Language Learning features a shared task, in which participa...
In this master’s thesis we designed, implemented and evaluated a novel joint syntactic and semantic ...
In this master’s thesis we designed, implemented and evaluated a novel joint syntactic and semantic ...
Our CoNLL 2009 Shared Task system in-cludes three cascaded components: syntactic parsing, predicate ...
The Conference on Computational Natural Language Learning features a shared task, in which participa...
Our CoNLL 2009 Shared Task system in-cludes three cascaded components: syntactic parsing, predicate ...
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which p...
This paper presents our contribution in the closed track of the 2008 CoNLL Shared Task. To tackle th...
In this paper we introduce a joint arc-factored model for syntactic and semantic dependency parsing....
This paper describes our system about mul-tilingual syntactic and semantic dependency parsing for ou...
Semantic dependency parsing is the task of mapping natural language sentences into representations o...
Current investigations in data-driven models of parsing have shifted from purely syntactic analysis ...