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Proceedings of the 32nd annual meeting on Association for Computational Linguistics -
Abstract
This volume contains the papers presented at the 32nd Annual Meeting of the Association for Computational Linguistics, held June 27-30, 1994, at New Mexico State University in Las Cruces, New Mexico. In addition to the papers from the main session, these proceedings include the papers from the student sessions as well.This year marked the first time ACL accepted papers by electronic submission. Surprisingly, over half of the authors decided to submit electronically, but because of the newness of the medium for the conference, most authors also submitted paper copies as well. Except for some minor problems with formatting and mailer difficulties, the process went remarkably well. I believe in a few years, we will be ready to convert entirely to electronic submission and reviewing.
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Cited by
A review of affective computing: From unimodal analysis to multimodal fusion
Poria, S., Cambria, E., Bajpai, R., & Hussain, A. (2017) · Information Fusion · doi:10.1016/j.inffus.2017.02.003 · Cited by 1,644
Baker, R. S. J. D., D'Mello, S. K., Rodrigo, M. M. T., & Graesser, A. C. (2010) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2009.12.003 · Cited by 936
Combating Fake News: A Survey on Identification and Mitigation Techniques
Sharma, K., Qian, F., Jiang, H., Ruchansky, N., Zhang, M., & Liu, Y. (2019) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3305260 · Cited by 514
The DDI corpus: An annotated corpus with pharmacological substances and drug–drug interactions
Herrero-Zazo, M., Segura-Bedmar, I., Martínez, P., & Declerck, T. (2013) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2013.07.011 · Cited by 478
SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods
Ribeiro, F. N., Araújo, M., Gonçalves, P., André Gonçalves, M., & Benevenuto, F. (2016) · EPJ Data Science · doi:10.1140/epjds/s13688-016-0085-1 · Cited by 468
Metadata
- Published
- 1994
- OpenAlex
- W2610930722
- Cited by
- 732
- References
- 0
- Type
- paratext
- Language
- en
- Open access
- closed
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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.
