The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Universal Sentence Encoder for English
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Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Brian Strope, Ray Kurzweil. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. 2018.
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Cites
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Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
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“One recent example of embedding is demonstrated in [21] where the authors use different text-embedding approaches such as sentence encoder [22] and GPT2 [23] to transform textual domain-knowledge into embedding vectors.”
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PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems
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Xu, L., Xie, H., Li, Z., Wang, F. L., Wang, W., & Li, Q. (2023) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3593590 · Cited by 50
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van Berkel, N., Papachristos, E., Giachanou, A., Hosio, S., & Skov, M. B. (2020) · Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society · doi:10.1145/3419249.3420106 · Cited by 51
Yu, Y., Gomez-Cabello, C. A., Haider, S. A., Genovese, A., Prabha, S., Trabilsy, M., Collaco, B. G., Wood, N. G., Bagaria, S., Tao, C., et al. (2025) · Diagnostics · doi:10.3390/diagnostics15172204 · Cited by 32
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Chen, Q., Du, J., Kim, S., Wilbur, W. J., & Lu, Z. (2020) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-020-1044-0 · Cited by 19
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Kuznetsov, I., Buchmann, J., Eichler, M., & Gurevych, I. (2022) · Computational Linguistics · doi:10.1162/coli_a_00455 · Cited by 17
(2021) · doi:10.18653/v1/2021.naacl-main.108 · Cited by 16
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Stappen, L., Rizos, G., Hasan, M., Hain, T., & Schuller, B. W. (2020) · Interspeech 2020 · doi:10.21437/interspeech.2020-2862 · Cited by 15
Vakulenko, S., Longpre, S., Tu, Z., & Anantha, R. (2020) · Proceedings of the 5th International Workshop on Search-Oriented Conversational AI (SCAI) · doi:10.18653/v1/2020.scai-1.2 · Cited by 14
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Paraphrastic Representations at Scale
Wieting, J., Gimpel, K., Neubig, G., & Berg-kirkpatrick, T. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · doi:10.18653/v1/2022.emnlp-demos.38 · Cited by 13
Pinhanez, C. S., Candello, H., Cavalin, P., Pichiliani, M. C., Appel, A. P., Alves Ribeiro, V. H., Nogima, J., de Bayser, M., Guerra, M., Ferreira, H., et al. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445368 · Cited by 7
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“…analysis (LSA; scikit-learn) of TF-IDF using truncated singular value decomposition (cid:129) Universal sentence encoder (univBERT; tensor fl ow.js) 43 (cid:129) Document to vector embedding model (Doc2Vec; tensor fl ow.js native implementation) 44 (cid:129) Pretrained sentence transformers (e.g.,…”
Memory-Augmented Architecture for Long-Term Context Handling in Large Language Models
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Metadata
- Authors
- Cer, D., Yang, Y., Kong, S.-Y., Hua, N., Limtiaco, N., St. John, R., Constant, N., Guajardo-Cespedes, M., Yuan, S., Tar, C., Strope, B., & Kurzweil, R.
- Venue
- Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- Published
- 2018
- Pages
- 169-174
- OpenAlex
- W2891177506
- Cited by
- 1,277
- References
- 4
- FWCI
- 51.91
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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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.
