Eisenstein, Jacob

Explainable Prediction of Medical Codes from Clinical Text

Mullenbach, J., Wiegreffe, S., Duke, J., Sun, J., & Eisenstein, J. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 597

Underspecification Presents Challenges for Credibility in Modern Machine Learning

D'Amour, A., Heller, K., Moldovan, D., Adlam, B., Alipanahi, B., Beutel, A., Chen, C., Deaton, J., Eisenstein, J., Hoffman, M. D., et al. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdversarial Robustness in Machine Learning

Cited by 398

You Can't Stay Here: The Efficacy of Reddit's 2015 Ban Examined Through Hate Speech

Chandrasekharan, E., Pavalanathan, U., Srinivasan, A., Glynn, A., Eisenstein, J., & Gilbert, E. (2017) · Proceedings of the ACM on Human-Computer Interaction

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 390

Sparse, Dense, and Attentional Representations for Text Retrieval

Luan, Y., Eisenstein, J., Toutanova, K., & Collins, M. (2021) · Transactions of the Association for Computational Linguistics

Information Retrieval and Search BehaviorTopic Modeling

Cited by 363

The Internet's Hidden Rules: An Empirical Study of Reddit Norm Violations at Micro, Meso, and Macro Scales

Chandrasekharan, E., Samory, M., Jhaver, S., Charvat, H., Bruckman, A., Lampe, C., Eisenstein, J., & Gilbert, E. (2018) · Proceedings of the ACM on Human-Computer Interaction

Hate Speech and Cyberbullying DetectionSocial Media and Politics

Cited by 282

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

Feder, A., Keith, K. A., Manzoor, E., Pryzant, R., Sridhar, D., Wood-Doughty, Z., Eisenstein, J., Grimmer, J., Reichart, R., Roberts, M. E., et al. (2022) · Transactions of the Association for Computational Linguistics

Advanced Causal Inference TechniquesComputational and Text Analysis Methods

Cited by 220

Time-aware language models as temporal knowledge bases

Dhingra, B., Cole, J. R., Eisenschlos, J. M., Gillick, D., Eisenstein, J., & Cohen, W. W. (2022) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 212

Mimicking Word Embeddings using Subword RNNs

Pinter, Y., Guthrie, R., & Eisenstein, J. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 177

Confounds and consequences in geotagged twitter data

Pavalanathan, U., & Eisenstein, J. (2015) · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

Authorship Attribution and ProfilingHuman Mobility and Location-Based Analysis

Cited by 104

The MultiBERTs: BERT Reproductions for Robustness Analysis

Sellam, T., Yadlowsky, S., Wei, J., Saphra, N., D'Amour, A., Linzen, T., Bastings, J., Turc, I., Eisenstein, J., Das, D., et al. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 37

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models

Bohnet, B., Tran, V. Q., Verga, P., Aharoni, R., Andor, D., Soares, L. B., Ciaramita, M., Eisenstein, J., Ganchev, K., Herzig, J., et al. (2022) · arXiv

Topic ModelingAuthorship Attribution and Profiling

Cited by 30

Selectively Answering Ambiguous Questions

Cole, J., Zhang, M., Gillick, D., Eisenschlos, J., Dhingra, B., & Eisenstein, J. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 19

Selectively Answering Ambiguous Questions

Cole, J. R., Zhang, M. J. Q., Gillick, D., Eisenschlos, J. M., Dhingra, B., & Eisenstein, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 19