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The Automatic Content Extraction (ACE) Program – Tasks, Data, and Evaluation
Open accessAbstract
The objective of the ACE program is to develop technology to automatically infer from human language data the entities being mentioned, the relations among these entities that are directly expressed, and the events in which these entities participate.Data sources include audio and image data in addition to pure text, and Arabic and Chinese in addition to English.The effort involves defining the research tasks in detail, collecting and annotating data needed for training, development, and evaluation, and supporting the research with evaluation tools and research workshops.This program began with a pilot study in 1999.The next evaluation is scheduled for September 2004.
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Citations
Cited by
Distant supervision for relation extraction without labeled data
Mintz, M., Bills, S., Snow, R., & Jurafsky, D. (2009) · Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - ACL-IJCNLP '09 · doi:10.3115/1690219.1690287 · Cited by 2,752
A survey of named entity recognition and classification
Nadeau, D., & Sekine, S. (2007) · Lingvisticae Investigationes · doi:10.1075/li.30.1.03nad · Cited by 2,507
Inter-Coder Agreement for Computational Linguistics
Artstein, R., & Poesio, M. (2008) · Computational Linguistics · doi:10.1162/coli.07-034-r2 · Cited by 1,665
A Unified MRC Framework for Named Entity Recognition
Li, X., Feng, J., Meng, Y., Han, Q., Wu, F., & Li, J. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.519 · Cited by 697
(2012) · Cited by 618
Metadata
- Authors
- Doddington, G. R., Mitchell, A., Przybocki, M. A., Ramshaw, L., Strassel, S. M., & Weischedel, R.
- Venue
- Language Resources and Evaluation Conference (LREC)
- Published
- 2004-05-01
- OpenAlex
- W2407338347
- Cited by
- 1,029
- References
- 0
- FWCI
- 3.69
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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- Doddington, G. R., Mitchell, A., Przybocki, M. A., Ramshaw, L., Strassel, S. M., & Weischedel, R. (2004). The Automatic Content Extraction (ACE) Program – Tasks, Data, and Evaluation. Language Resources and Evaluation Conference (LREC). https://doi.org/10.63317/4o6ysc5sicba
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
