@inproceedings{strassel-etal-2008-linguistic,
title = "Linguistic Resources and Evaluation Techniques for Evaluation of Cross-Document Automatic Content Extraction",
author = "Strassel, Stephanie and
Przybocki, Mark and
Peterson, Kay and
Song, Zhiyi and
Maeda, Kazuaki",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Tapias, Daniel",
booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
month = may,
year = "2008",
address = "Marrakech, Morocco",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/677_paper.pdf",
abstract = "The NIST Automatic Content Extraction (ACE) Evaluation expands its focus in 2008 to encompass the challenge of cross-document and cross-language global integration and reconciliation of information. While past ACE evaluations have been limited to local (within-document) detection and disambiguation of entities, relations and events, the current evaluation adds global (cross-document and cross-language) entity disambiguation tasks for Arabic and English. This paper presents the 2008 ACE XDoc evaluation task and associated infrastructure. We describe the linguistic resources created by LDC to support the evaluation, focusing on new approaches required for data selection, data processing, annotation task definitions and annotation software, and we conclude with a discussion of the metrics developed by NIST to support the evaluation.",
}
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%0 Conference Proceedings
%T Linguistic Resources and Evaluation Techniques for Evaluation of Cross-Document Automatic Content Extraction
%A Strassel, Stephanie
%A Przybocki, Mark
%A Peterson, Kay
%A Song, Zhiyi
%A Maeda, Kazuaki
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F strassel-etal-2008-linguistic
%X The NIST Automatic Content Extraction (ACE) Evaluation expands its focus in 2008 to encompass the challenge of cross-document and cross-language global integration and reconciliation of information. While past ACE evaluations have been limited to local (within-document) detection and disambiguation of entities, relations and events, the current evaluation adds global (cross-document and cross-language) entity disambiguation tasks for Arabic and English. This paper presents the 2008 ACE XDoc evaluation task and associated infrastructure. We describe the linguistic resources created by LDC to support the evaluation, focusing on new approaches required for data selection, data processing, annotation task definitions and annotation software, and we conclude with a discussion of the metrics developed by NIST to support the evaluation.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/677_paper.pdf
Markdown (Informal)
[Linguistic Resources and Evaluation Techniques for Evaluation of Cross-Document Automatic Content Extraction](http://www.lrec-conf.org/proceedings/lrec2008/pdf/677_paper.pdf) (Strassel et al., LREC 2008)
ACL