The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering
Open accessAbstract
Di Wang, Eric Nyberg. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). 2015.
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Cites
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Distributed Representations of Words and Phrases and their Compositionality
Mikolov, T., Sutskever, I., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1310.4546 · Cited by 24,533
Sequence to Sequence Learning with Neural Networks
Sutskever, I., Vinyals, O., & Le, Q. V. (2014) · arXiv · doi:10.48550/arxiv.1409.3215 · Cited by 17,766
Speech recognition with deep recurrent neural networks
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Learning Deep Architectures for AI
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Generating Sequences With Recurrent Neural Networks
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Ruchansky, N., Seo, S., & Liu, Y. (2017) · Proceedings of the 2017 ACM on Conference on Information and Knowledge Management · doi:10.1145/3132847.3132877 · Cited by 1,039
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing
Li, E., Zeng, L., Zhou, Z., & Chen, X. (2020) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2019.2946140 · Cited by 929
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
Wang, J., Yu, L., Zhang, W., Gong, Y., Xu, Y., Wang, B., Zhang, P., & Zhang, D. (2017) · Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval · doi:10.1145/3077136.3080786 · Cited by 567
Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy
Li, E., Zhou, Z., & Chen, X. (2018) · Proceedings of the 2018 Workshop on Mobile Edge Communications · doi:10.1145/3229556.3229562 · Cited by 385
dos Santos, C. N., Tan, M., Xiang, B., & Zhou, B. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1602.03609 · Cited by 300
Metadata
- Authors
- Wang, D., & Nyberg, E.
- Venue
- Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
- Published
- 2015
- Pages
- 707-712
- OpenAlex
- W2251202616
- Cited by
- 353
- References
- 26
- FWCI
- 32.20
- Type
- conference paper
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering. https://app.cochat.ai/papers/10.3115/v1/p15-2116
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- Wang, D., & Nyberg, E. (2015). A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). https://doi.org/10.3115/v1/p15-2116
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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.
