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The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies

Surdeanu, Mihai; Johansson, Richard LU ; Meyers, Adam; Màrquez, Lluís and Nivre, Joakim (2008) Conference on Computational Natural Language Learning (CoNLL) In Proceedings of the 12th Conference on Computational Natural Language Learning (CoNLL) p.159-177
Abstract
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... (More)
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 analyze the results and

describe the approaches of the participating

systems. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
semantic analysis, dependency parsing, Natural language processing
in
Proceedings of the 12th Conference on Computational Natural Language Learning (CoNLL)
pages
18 pages
publisher
Association for Computational Linguistics
conference name
Conference on Computational Natural Language Learning (CoNLL)
external identifiers
  • scopus:78751700422
language
English
LU publication?
yes
id
06cad21a-cee5-4095-a402-7f234a1f6071 (old id 1229583)
date added to LUP
2008-09-08 14:18:10
date last changed
2017-04-16 04:30:35
@inproceedings{06cad21a-cee5-4095-a402-7f234a1f6071,
  abstract     = {The Conference on Computational Natural<br/><br>
Language Learning is accompanied every<br/><br>
year by a shared task whose purpose<br/><br>
is to promote natural language processing<br/><br>
applications and evaluate them in a standard<br/><br>
setting. In 2008 the shared task was<br/><br>
dedicated to the joint parsing of syntactic<br/><br>
and semantic dependencies. This shared<br/><br>
task not only unifies the shared tasks of<br/><br>
the previous four years under a unique<br/><br>
dependency-based formalism, but also extends<br/><br>
them significantly: this year’s syntactic<br/><br>
dependencies include more information<br/><br>
such as named-entity boundaries; the<br/><br>
semantic dependencies model roles of both<br/><br>
verbal and nominal predicates. In this paper,<br/><br>
we define the shared task and describe<br/><br>
how the data sets were created. Furthermore,<br/><br>
we report and analyze the results and<br/><br>
describe the approaches of the participating<br/><br>
systems.},
  author       = {Surdeanu, Mihai and Johansson, Richard and Meyers, Adam and Màrquez, Lluís and Nivre, Joakim},
  booktitle    = {Proceedings of the 12th Conference on Computational Natural Language Learning (CoNLL)},
  keyword      = {semantic analysis,dependency parsing,Natural language processing},
  language     = {eng},
  pages        = {159--177},
  publisher    = {Association for Computational Linguistics},
  title        = {The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies},
  year         = {2008},
}