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The Genia Event and Protein Coreference tasks of the BioNLP Shared Task 2011
BACKGROUND: The Genia task, when it was introduced in 2009, was the first community-wide effort to address a fine-grained, structural information extraction from biomedical literature. Arranged for the second time as one of the main tasks of BioNLP Shared Task 2011, it aimed to measure the progress...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384256/ https://www.ncbi.nlm.nih.gov/pubmed/22759455 http://dx.doi.org/10.1186/1471-2105-13-S11-S1 |
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author | Kim, Jin-Dong Nguyen, Ngan Wang, Yue Tsujii, Jun'ichi Takagi, Toshihisa Yonezawa, Akinori |
author_facet | Kim, Jin-Dong Nguyen, Ngan Wang, Yue Tsujii, Jun'ichi Takagi, Toshihisa Yonezawa, Akinori |
author_sort | Kim, Jin-Dong |
collection | PubMed |
description | BACKGROUND: The Genia task, when it was introduced in 2009, was the first community-wide effort to address a fine-grained, structural information extraction from biomedical literature. Arranged for the second time as one of the main tasks of BioNLP Shared Task 2011, it aimed to measure the progress of the community since 2009, and to evaluate generalization of the technology to full text papers. The Protein Coreference task was arranged as one of the supporting tasks, motivated from one of the lessons of the 2009 task that the abundance of coreference structures in natural language text hinders further improvement with the Genia task. RESULTS: The Genia task received final submissions from 15 teams. The results show that the community has made a significant progress, marking 74% of the best F-score in extracting bio-molecular events of simple structure, e.g., gene expressions, and 45% ~ 48% in extracting those of complex structure, e.g., regulations. The Protein Coreference task received 6 final submissions. The results show that the coreference resolution performance in biomedical domain is lagging behind that in newswire domain, cf. 50% vs. 66% in MUC score. Particularly, in terms of protein coreference resolution the best system achieved 34% in F-score. CONCLUSIONS: Detailed analysis performed on the results improves our insight into the problem and suggests the directions for further improvements. |
format | Online Article Text |
id | pubmed-3384256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33842562012-06-28 The Genia Event and Protein Coreference tasks of the BioNLP Shared Task 2011 Kim, Jin-Dong Nguyen, Ngan Wang, Yue Tsujii, Jun'ichi Takagi, Toshihisa Yonezawa, Akinori BMC Bioinformatics Proceedings BACKGROUND: The Genia task, when it was introduced in 2009, was the first community-wide effort to address a fine-grained, structural information extraction from biomedical literature. Arranged for the second time as one of the main tasks of BioNLP Shared Task 2011, it aimed to measure the progress of the community since 2009, and to evaluate generalization of the technology to full text papers. The Protein Coreference task was arranged as one of the supporting tasks, motivated from one of the lessons of the 2009 task that the abundance of coreference structures in natural language text hinders further improvement with the Genia task. RESULTS: The Genia task received final submissions from 15 teams. The results show that the community has made a significant progress, marking 74% of the best F-score in extracting bio-molecular events of simple structure, e.g., gene expressions, and 45% ~ 48% in extracting those of complex structure, e.g., regulations. The Protein Coreference task received 6 final submissions. The results show that the coreference resolution performance in biomedical domain is lagging behind that in newswire domain, cf. 50% vs. 66% in MUC score. Particularly, in terms of protein coreference resolution the best system achieved 34% in F-score. CONCLUSIONS: Detailed analysis performed on the results improves our insight into the problem and suggests the directions for further improvements. BioMed Central 2012-06-26 /pmc/articles/PMC3384256/ /pubmed/22759455 http://dx.doi.org/10.1186/1471-2105-13-S11-S1 Text en Copyright ©2012 Kim et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Proceedings Kim, Jin-Dong Nguyen, Ngan Wang, Yue Tsujii, Jun'ichi Takagi, Toshihisa Yonezawa, Akinori The Genia Event and Protein Coreference tasks of the BioNLP Shared Task 2011 |
title | The Genia Event and Protein Coreference tasks of the BioNLP Shared Task 2011 |
title_full | The Genia Event and Protein Coreference tasks of the BioNLP Shared Task 2011 |
title_fullStr | The Genia Event and Protein Coreference tasks of the BioNLP Shared Task 2011 |
title_full_unstemmed | The Genia Event and Protein Coreference tasks of the BioNLP Shared Task 2011 |
title_short | The Genia Event and Protein Coreference tasks of the BioNLP Shared Task 2011 |
title_sort | genia event and protein coreference tasks of the bionlp shared task 2011 |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384256/ https://www.ncbi.nlm.nih.gov/pubmed/22759455 http://dx.doi.org/10.1186/1471-2105-13-S11-S1 |
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