Faculty of Arts and Science

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  • 2022

    Resume Format, LinkedIn URLs and Other Unexpected Influences on AI Personality Prediction in Hiring: Results of an Audit

    Rhea, A., Markey, K., D'Arinzo, L., Schellmann, H., Sloane, M., Squires, P. & Stoyanovich, J., Jul 26 2022, AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery, Inc, p. 572-587 16 p. (AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • 2021

    Across-animal odor decoding by probabilistic manifold alignment

    Herrero-Vidal, P., Rinberg, D. & Savin, C., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 20360-20372 13 p. (Advances in Neural Information Processing Systems; vol. 25).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Adaptive Denoising via GainTuning

    Mohan, S., Vincent, J. L., Manzorro, R., Crozier, P. A., Fernandez-Granda, C. & Simoncelli, E. P., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 23727-23740 14 p. (Advances in Neural Information Processing Systems; vol. 28).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • A sampling-based circuit for optimal decision making

    Rullán Buxó, C. E. & Savin, C., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 14163-14175 13 p. (Advances in Neural Information Processing Systems; vol. 17).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others

    Gandhi, K., Stojnic, G., Lake, B. M. & Dillon, M., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 9963-9976 14 p. (Advances in Neural Information Processing Systems; vol. 12).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Causal analysis of syntactic agreement mechanisms in neural language models

    Finlayson, M., Mueller, A., Gehrmann, S., Shieber, S., Linzen, T. & Belinkov, Y., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1828-1843 16 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Comparing test sets with item response theory

    Vania, C., Htut, P. M., Huang, W., Mungra, D., Pang, R. Y., Phang, J., Liu, H., Cho, K. & Bowman, S. R., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1141-1158 18 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction

    Ravfogel, S., Prasad, G., Linzen, T. & Goldberg, Y., 2021, CoNLL 2021 - 25th Conference on Computational Natural Language Learning, Proceedings. Bisazza, A. & Abend, O. (eds.). Association for Computational Linguistics (ACL), p. 194-209 16 p. (CoNLL 2021 - 25th Conference on Computational Natural Language Learning, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection

    Suhr, A., Vania, C., Nangia, N., Sap, M., Yatskar, M., Bowman, S. R. & Artzi, Y., 2021, EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts. Association for Computational Linguistics (ACL), p. 1-6 6 p. (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Does Putting a Linguist in the Loop Improve NLU Data Collection?

    Parrish, A., Huang, W., Agha, O., Lee, S. H., Nangia, N., Warstadt, A., Aggarwal, K., Allaway, E., Linzen, T. & Bowman, S., 2021, Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021. Moens, M-F., Huang, X., Specia, L. & Yih, S. W-T. (eds.). Association for Computational Linguistics (ACL), p. 4886-4901 16 p. (Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks

    Nayebi, A., Attinger, A., Campbell, M. G., Hardcastle, K., Low, I. I. C., Mallory, C. S., Mel, G. C., Sorscher, B., Williams, A. H., Ganguli, S., Giocomo, L. M. & Yamins, D. L. K., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 12167-12179 13 p. (Advances in Neural Information Processing Systems; vol. 15).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Fairer Chess: A Reversal of Two Opening Moves in Chess Creates Balance between White and Black

    Brams, S. J. & Ismail, M. S., 2021, 2021 IEEE Conference on Games, CoG 2021. IEEE Computer Society, (IEEE Conference on Computatonal Intelligence and Games, CIG; vol. 2021-August).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers

    Phang, J., Liu, H. & Bowman, S. R., 2021, BlackboxNLP 2021 - Proceedings of the 4th BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics (ACL), p. 529-538 10 p. (BlackboxNLP 2021 - Proceedings of the 4th BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Frequency Effects on Syntactic Rule Learning in Transformers

    Wei, J., Garrette, D., Linzen, T. & Pavlick, E., 2021, EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 932-948 17 p. (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Generalized Shape Metrics on Neural Representations

    Williams, A. H., Kunz, E., Kornblith, S. & Linderman, S. W., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 4738-4750 13 p. (Advances in Neural Information Processing Systems; vol. 6).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Impression learning: Online representation learning with synaptic plasticity

    Bredenberg, C., Lyo, B. S. H., Simoncelli, E. P. & Savin, C., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 11717-11729 13 p. (Advances in Neural Information Processing Systems; vol. 14).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning

    Nye, M., Tessler, M. H., Tenenbaum, J. B. & Lake, B. M., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 25192-25204 13 p. (Advances in Neural Information Processing Systems; vol. 30).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Modeling Infant Free Play Using Hidden Markov Models

    Le, H., Hoch, J. E., Ossmy, O., Adolph, K. E., Fern, X. & Fern, A., Aug 23 2021, IEEE International Conference on Development and Learning, ICDL 2021. Institute of Electrical and Electronics Engineers Inc., Vol. 2021. (IEEE International Conference on Development and Learning, ICDL 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mueller matrix orientation parameters unwrapping for statistically viable distribution

    Wan, J., Yao, Y., Liu, Y., Arnold, S. & Ma, H., 2021, Polarized Light and Optical Angular Momentum for Biomedical Diagnostics. Ramella-Roman, J. C., Ma, H., Novikova, T., Elson, D. S. & Vitkin, I. A. (eds.). SPIE, 116460L. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11646).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Neural unsupervised parsing beyond english

    Kann, K., Mohananey, A., Cho, K. & Bowman, S. R., 2021, DeepLo@EMNLP-IJCNLP 2019 - Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing - Proceedings. Association for Computational Linguistics (ACL), p. 209-218 10 p. (DeepLo@EMNLP-IJCNLP 2019 - Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • NOPE: A Corpus of Naturally-Occurring Presuppositions in English

    Parrish, A., Schuster, S., Warstadt, A., Agha, O., Lee, S. H., Zhao, Z., Bowman, S. & Linzen, T., 2021, CoNLL 2021 - 25th Conference on Computational Natural Language Learning, Proceedings. Bisazza, A. & Abend, O. (eds.). Association for Computational Linguistics (ACL), p. 349-366 18 p. (CoNLL 2021 - 25th Conference on Computational Natural Language Learning, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser

    Kadkhodaie, Z. & Simoncelli, E. P., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 13242-13254 13 p. (Advances in Neural Information Processing Systems; vol. 16).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation

    Aina, L. & Linzen, T., 2021, BlackboxNLP 2021 - Proceedings of the 4th BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics (ACL), p. 42-57 16 p. (BlackboxNLP 2021 - Proceedings of the 4th BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Unsupervised Deep Video Denoising

    Sheth, D. Y., Mohan, S., Vincent, J. L., Manzorro, R., Crozier, P. A., Khapra, M. M., Simoncelli, E. P. & Fernandez-Granda, C., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 1739-1748 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • What ingredients make for an effective crowdsourcing protocol for difficult NLU data collection tasks?

    Nangia, N., Sugawara, S., Trivedi, H., Warstadt, A., Vania, C. & Bowman, S. R., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1221-1235 15 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • When do you need billions of words of pretraining data?

    Zhang, Y., Warstadt, A., Li, H. S. & Bowman, S. R., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1112-1125 14 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2020

    AutoViDev: A Computer-Vision Framework to Enhance and Accelerate Research in Human Development

    Ossmy, O., Gilmore, R. O. & Adolph, K. E., 2020, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. Kapoor, S. & Arai, K. (eds.). Springer Verlag, p. 147-156 10 p. (Advances in Intelligent Systems and Computing; vol. 944).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Can you tell me how to get past sesame street? Sentence-level pretraining beyond language modeling

    Wang, A., Hula, J., Xia, P., Pappagari, R., Thomas McCoy, R., Patel, R., Kim, N., Tenney, I., Huang, Y., Yu, K., Jin, S., Chen, B., van Durme, B., Grave, E., Pavlick, E. & Bowman, S. R., 2020, ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 4465-4476 12 p. (ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • COGS: A compositional generalization challenge based on semantic interpretation

    Kim, N. & Linzen, T., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 9087-9105 19 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • CrowS-Pairs: A challenge dataset for measuring social biases in masked language models

    Nangia, N., Vania, C., Bhalerao, R. & Bowman, S. R., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1953-1967 15 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Data and Incentives

    Liang, A. & Madsen, E., Jul 13 2020, EC 2020 - Proceedings of the 21st ACM Conference on Economics and Computation. Association for Computing Machinery, Inc, p. 41-42 2 p. 3399474. (EC 2020 - Proceedings of the 21st ACM Conference on Economics and Computation).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Deep James-Stein Neural Networks for Brain-Computer Interfaces

    Angjelichinoski, M., Soltani, M., Choi, J., Pesaran, B. & Tarokh, V., May 2020, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1339-1343 5 p. 9053694. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Human vs. Muppet: A conservative estimate of human performance on the GLUE benchmark

    Nangia, N. & Bowman, S. R., 2020, ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 4566-4575 10 p. (ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning to learn morphological inflection for resource-poor languages

    Kann, K., Bowman, S. R. & Cho, K., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 8058-8065 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning which features matter: RoBERTa acquires a preference for linguistic generalizations (eventually)

    Warstadt, A., Zhang, Y., Li, H. S., Liu, H. & Bowman, S. R., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 217-235 19 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • New protocols and negative results for textual entailment data collection

    Bowman, S. R., Palomaki, J., Soares, L. B. & Pitler, E., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 8203-8214 12 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Precise task formalization matters in Winograd Schema Evaluations

    Liu, H., Huang, W., Mungra, D. A. & Bowman, S. R., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 8275-8280 6 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference

    Thomas McCoy, R., Pavlick, E. & Linzen, T., 2020, ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3428-3448 21 p. (ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Trajectories of change in Spanish and Portuguese in the Americas

    Guy, G., 2020, Romance Languages and Linguistic Theory 16. Selected papers from the 47th Linguistic Symposium on Romance Languages (LSRL), Newark, Delaware. Vogel, I. (ed.). John Benjamins Publishing Company, p. 133-154 22 p. (Romance Languages and Linguistic Theory; vol. 16).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2019

    Blind Image Quality Assessment by Learning from Multiple Annotators

    Ma, K., Liu, X., Fang, Y. & Simoncelli, E. P., Sep 2019, 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings. IEEE Computer Society, p. 2344-2348 5 p. 8803390. (Proceedings - International Conference on Image Processing, ICIP; vol. 2019-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Deep learning for natural language inference

    Bowman, S. R. & Zhu, X., 2019, NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Tutorial Abstracts. Association for Computational Linguistics (ACL), p. 6-8 3 p. (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Tutorial Abstracts).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Estimating Personal Network Size with Non-random Mixing via Latent Kernels

    Sahai, S., Jones, T., Cowan, S. K. & Zheng, T., 2019, Complex Networks and Their Applications VII - Volume 1 Proceedings The 7th International Conference on Complex Networks and their Applications COMPLEX NETWORKS 2018. Lambiotte, R., Rocha, L. M., Lió, P., Cherifi, H., Aiello, L. M. & Cherifi, C. (eds.). Springer Verlag, p. 694-705 12 p. (Studies in Computational Intelligence; vol. 812).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Graph-Theoretic Partitioning of RNAs and Classification of Pseudoknots

    Petingi, L. & Schlick, T., 2019, Algorithms for Computational Biology - 6th International Conference, AlCoB 2019, Proceedings. Vega-Rodríguez, M. A., Holmes, I. & Martín-Vide, C. (eds.). Springer Verlag, p. 68-79 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11488 LNBI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Identifying and reducing gender bias in word-level language models

    Bordia, S. & Bowman, S. R., 2019, NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Student Research Workshop. Association for Computational Linguistics (ACL), p. 7-15 9 p. (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Student Research Workshop).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Investigating Bert's knowledge of language: Five analysis methods with NPIs

    Warstadt, A., Cao, Y., Grosu, I., Peng, W., Blix, H., Nie, Y., Alsop, A., Bordia, S., Liu, H., Parrish, A., Wang, S. F., Phang, J., Mohananey, A., Htut, P. M., Jeretič, P. & Bowman, S. R., 2019, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 2877-2887 11 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Nature Versus Nurture: Dynamical Evolution in Disordered Ising Ferromagnets

    Wang, L. Z., Gheissari, R., Newman, C. M. & Stein, D. L., 2019, Statistical Mechanics of Classical and Disordered Systems, StaMeClaDys 2018. Gayrard, V., Arguin, L-P., Kistler, N. & Kourkova, I. (eds.). Springer, p. 215-237 23 p. (Springer Proceedings in Mathematics and Statistics; vol. 293).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • On measuring social biases in sentence encoders

    May, C., Wang, A., Bordia, S., Bowman, S. R. & Rudinger, R., 2019, Long and Short Papers. Association for Computational Linguistics (ACL), p. 622-628 7 p. (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Probability theory in statistical physics, percolation, and other random topics: The work of C. Newman

    Camia, F. & Stein, D. L., 2019, Sojourns in Probability Theory and Statistical Physics - I - Spin Glasses and Statistical Mechanics, A Festschrift for Charles M. Newman. Sidoravicius, V. (ed.). Springer , p. 1-38 38 p. (Springer Proceedings in Mathematics and Statistics; vol. 298).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Probing what different NLP tasks teach machines about function word comprehension

    Kim, N., Patel, R., Poliak, A., Wang, A., Xia, P., McCoy, R. T., Tenney, I., Ross, A., Linzen, T., Van Durme, B., Bowman, S. R. & Pavlick, E., 2019, *SEM@NAACL-HLT 2019 - 8th Joint Conference on Lexical and Computational Semantics. Association for Computational Linguistics (ACL), p. 235-249 15 p. (*SEM@NAACL-HLT 2019 - 8th Joint Conference on Lexical and Computational Semantics).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Quantity doesn't buy quality syntax with neural language models

    van Schijndel, M., Mueller, A. & Linzen, T., 2019, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 5831-5837 7 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution