The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Development and use of a gold-standard data set for subjectivity classifications
Open accessAbstract
This paper presents a case study of analyzing and improving intercoder reliability in discourse tagging using statistical techniques. Bias-corrected tags are formulated and successfully used to guide a revision of the coding manual and develop an automatic classifier.
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Cites
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Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
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Shelley, M., & Krippendorff, K. (1984) · Journal of the American Statistical Association · doi:10.2307/2288384 · Cited by 24,312
Content Analysis: An Introduction to Its Methodology
Krippendorff, K. (2019) · doi:10.4135/9781071878781 · Cited by 15,448
A Comprehensive Grammar of the English Language
Huddleston, R., Quirk, R., Greenbaum, S., Leech, G., & Svartvik, J. (1988) · Language · doi:10.2307/415437 · Cited by 7,587
Building a Large Annotated Corpus of English: The Penn Treebank
Marcus, M. (1993) · doi:10.21236/ada273556 · Cited by 7,405
A Comprehensive Grammar of the English Language
Beauvais, P. J., Quirk, R., Greenbaum, S., Leech, G., & Svartvik, J. (1987) · College Composition and Communication · doi:10.2307/357731 · Cited by 5,488
Discrete Multivariate Analysis: Theory and Practice.
Beniger, J. R., Bishop, Y. M. M., Feinberg, S. E., Holland, P. W., Light, R. J., & Mosteller, F. (1975) · Contemporary Sociology · doi:10.2307/2063625 · Cited by 5,108
Accurate methods for the statistics of surprise and coincidence
Dunning, T. E. (1993) · doi:10.5555/972450.972454 · Cited by 2,647
Mayer, T. F., Lazarsfeld, P. F., & Henry, N. W. (1969) · American Sociological Review · doi:10.2307/2092222 · Cited by 2,384
Cited by
Mining and summarizing customer reviews
Hu, M., & Liu, B. (2004) · Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1014052.1014073 · Cited by 7,793
Sentiment Analysis and Opinion Mining
Liu, B. (2012) · Synthesis Lectures on Human Language Technologies · doi:10.1007/978-3-031-02145-9 · Cited by 3,281
Sentiment Analysis and Opinion Mining
Zhang, L., & Liu, B. (2017) · Encyclopedia of Machine Learning and Data Mining · doi:10.1007/978-1-4899-7687-1_907 · Cited by 3,260
Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks
Snow, R., O'Connor, B., Jurafsky, D., & Ng, A. Y. (2008) · Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08 · doi:10.3115/1613715.1613751 · Cited by 1,887
Learning extraction patterns for subjective expressions
Riloff, E., & Wiebe, J. (2003) · Proceedings of the 2003 conference on Empirical methods in natural language processing - · doi:10.3115/1119355.1119369 · Cited by 1,059
Self-citation
Metadata
- Authors
- Wiebe, J. M., Bruce, R. F., & O'Hara, T. P.
- Venue
- Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics -
- Published
- 1999
- Pages
- 246-253
- OpenAlex
- W2150098611
- Cited by
- 503
- References
- 30
- FWCI
- 18.28
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Wiebe, J. M., Bruce, R. F., & O'Hara, T. P. (1999). Development and use of a gold-standard data set for subjectivity classifications. Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics -. https://doi.org/10.3115/1034678.1034721
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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.
