The DOI matches its OpenAlex record; 31 of the 31 references it cites were found in a registry or an index.
Good Question! Statistical Ranking for Question Generation
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Citations
Cites
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
Building a Large Annotated Corpus of English: The Penn Treebank
Marcus, M. (1993) · doi:10.21236/ada273556 · Cited by 7,405
Constraints on variables in syntax
Ross, J. R. (1967) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 4,102
(2006) · Cited by 3,931
A Festschrift for Morris Halle
Halle, M., Anderson, S. R., & Kiparsky, P. (1973) · Holt, Rinehart and Winston eBooks · Cited by 1,914
Head-Driven Statistical Models for Natural Language Parsing
Collins, M. (2003) · Computational Linguistics · doi:10.1162/089120103322753356 · Cited by 1,826
Ridge Estimators in Logistic Regression
Cessie, S. L., & Houwelingen, J. C. V. (1992) · Applied Statistics · doi:10.2307/2347628 · Cited by 1,680
A statistical approach to machine translation
Brown, P. F., Cocke, J., Pietra, S. A. D., Pietra, V. J. D., Jelinek, F., Lafferty, J., Mercer, R. L., & Roossin, P. S. (1990) · doi:10.5555/92858.92860 · Cited by 1,655
Improved backing-off for M-gram language modeling
Kneser, R., & Ney, H. (2002) · 1995 International Conference on Acoustics, Speech, and Signal Processing · doi:10.1109/icassp.1995.479394 · Cited by 1,473
Cited by
FEVER: a Large-scale Dataset for Fact Extraction and VERification
Thorne, J., Vlachos, A., Christodoulopoulos, C., & Mittal, A. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · doi:10.18653/v1/n18-1074 · Cited by 1,343
Learning to Ask: Neural Question Generation for Reading Comprehension
Du, X., Shao, J., & Cardie, C. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p17-1123 · Cited by 696
A Systematic Review of Automatic Question Generation for Educational Purposes
Kurdi, G., Leo, J., Parsia, B., Sattler, U., & Al-Emari, S. (2020) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-019-00186-y · Cited by 514
Generating Natural Questions About an Image
Mostafazadeh, N., Misra, I., Devlin, J., Mitchell, M., He, X., & Vanderwende, L. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p16-1170 · Cited by 270
Harvesting Paragraph-level Question-Answer Pairs from Wikipedia
Du, X., & Cardie, C. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p18-1177 · Cited by 168
Metadata
- Authors
- Heilman, M., & Smith, N. A.
- Venue
- Figshare
- Publisher
- Figshare (United Kingdom)
- Published
- 2018-06-29
- Pages
- 609-617
- OpenAlex
- W1531374185
- Cited by
- 366
- References
- 31
- FWCI
- 28.57
- Type
- journal article
- Language
- en
- Open access
- green
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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- Heilman, M., & Smith, N. A. (2018). Good Question! Statistical Ranking for Question Generation. Figshare. https://doi.org/10.1184/r1/6473390
Data sources
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.
