@inproceedings{galibert-etal-2010-named,
title = "Named and Specific Entity Detection in Varied Data: The Qu{\ae}ro Named Entity Baseline Evaluation",
author = "Galibert, Olivier and
Quintard, Ludovic and
Rosset, Sophie and
Zweigenbaum, Pierre and
N{\'e}dellec, Claire and
Aubin, Sophie and
Gillard, Laurent and
Raysz, Jean-Pierre and
Pois, Delphine and
Tannier, Xavier and
Del{\'e}ger, Louise and
Laurent, Dominique",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Rosner, Mike and
Tapias, Daniel",
booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)",
month = may,
year = "2010",
address = "Valletta, Malta",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L10-1127/",
abstract = "The Qu{\ae}ro program that promotes research and industrial innovation on technologies for automatic analysis and classification of multimedia and multilingual documents. Within its context a set of evaluations of Named Entity recognition systems was held in 2009. Four tasks were defined. The first two concerned traditional named entities in French broadcast news for one (a rerun of ESTER 2) and of OCR-ed old newspapers for the other. The third was a gene and protein name extraction in medical abstracts. The last one was the detection of references in patents. Four different partners participated, giving a total of 16 systems. We provide a synthetic descriptions of all of them classifying them by the main approaches chosen (resource-based, rules-based or statistical), without forgetting the fact that any modern system is at some point hybrid. The metric (the relatively standard Slot Error Rate) and the results are also presented and discussed. Finally, a process is ongoing with preliminary acceptance of the partners to ensure the availability for the community of all the corpora used with the exception of the non-Qu{\ae}ro produced ESTER 2 one."
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<abstract>The Quæro program that promotes research and industrial innovation on technologies for automatic analysis and classification of multimedia and multilingual documents. Within its context a set of evaluations of Named Entity recognition systems was held in 2009. Four tasks were defined. The first two concerned traditional named entities in French broadcast news for one (a rerun of ESTER 2) and of OCR-ed old newspapers for the other. The third was a gene and protein name extraction in medical abstracts. The last one was the detection of references in patents. Four different partners participated, giving a total of 16 systems. We provide a synthetic descriptions of all of them classifying them by the main approaches chosen (resource-based, rules-based or statistical), without forgetting the fact that any modern system is at some point hybrid. The metric (the relatively standard Slot Error Rate) and the results are also presented and discussed. Finally, a process is ongoing with preliminary acceptance of the partners to ensure the availability for the community of all the corpora used with the exception of the non-Quæro produced ESTER 2 one.</abstract>
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%0 Conference Proceedings
%T Named and Specific Entity Detection in Varied Data: The Quæro Named Entity Baseline Evaluation
%A Galibert, Olivier
%A Quintard, Ludovic
%A Rosset, Sophie
%A Zweigenbaum, Pierre
%A Nédellec, Claire
%A Aubin, Sophie
%A Gillard, Laurent
%A Raysz, Jean-Pierre
%A Pois, Delphine
%A Tannier, Xavier
%A Deléger, Louise
%A Laurent, Dominique
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Rosner, Mike
%Y Tapias, Daniel
%S Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10)
%D 2010
%8 May
%I European Language Resources Association (ELRA)
%C Valletta, Malta
%F galibert-etal-2010-named
%X The Quæro program that promotes research and industrial innovation on technologies for automatic analysis and classification of multimedia and multilingual documents. Within its context a set of evaluations of Named Entity recognition systems was held in 2009. Four tasks were defined. The first two concerned traditional named entities in French broadcast news for one (a rerun of ESTER 2) and of OCR-ed old newspapers for the other. The third was a gene and protein name extraction in medical abstracts. The last one was the detection of references in patents. Four different partners participated, giving a total of 16 systems. We provide a synthetic descriptions of all of them classifying them by the main approaches chosen (resource-based, rules-based or statistical), without forgetting the fact that any modern system is at some point hybrid. The metric (the relatively standard Slot Error Rate) and the results are also presented and discussed. Finally, a process is ongoing with preliminary acceptance of the partners to ensure the availability for the community of all the corpora used with the exception of the non-Quæro produced ESTER 2 one.
%U https://aclanthology.org/L10-1127/
Markdown (Informal)
[Named and Specific Entity Detection in Varied Data: The Quæro Named Entity Baseline Evaluation](https://aclanthology.org/L10-1127/) (Galibert et al., LREC 2010)
ACL
- Olivier Galibert, Ludovic Quintard, Sophie Rosset, Pierre Zweigenbaum, Claire Nédellec, Sophie Aubin, Laurent Gillard, Jean-Pierre Raysz, Delphine Pois, Xavier Tannier, Louise Deléger, and Dominique Laurent. 2010. Named and Specific Entity Detection in Varied Data: The Quæro Named Entity Baseline Evaluation. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), Valletta, Malta. European Language Resources Association (ELRA).