| 2026 | EACL | Actors, Frames and Arguments: A Multi-Decade Computational Analysis of Climate Discourse in Financial News using Large Language Models. | Ruiran Su, Markus Leippold, Janet B. Pierrehumbert |
| 2025 | ACL | Stories that (are) Move(d by) Markets: A Causal Exploration of Market Shocks and Semantic Shifts across Different Partisan Groups. | Felix Drinkall, Stefan Zohren, Michael McMahon, Janet B. Pierrehumbert |
| 2025 | ACL | Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks. | Fangru Lin, Shaoguang Mao, Emanuele La Malfa, Valentin Hofmann, Adrian de Wynter, Xun Wang, Si-Qing Chen, Michael J. Wooldridge, Janet B. Pierrehumbert, Furu Wei |
| 2025 | COLING | Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs. | Felix Drinkall, Janet B. Pierrehumbert, Stefan Zohren |
| 2025 | EMNLP | Quantifying Compositionality of Classic and State-of-the-Art Embeddings. | Zhijin Guo, Chenhao Xue, Zhaozhen Xu, Hongbo Bo, Yuxuan Ye, Janet B. Pierrehumbert, Martha Lewis |
| 2025 | EMNLP | ClimateViz: A Benchmark for Statistical Reasoning and Fact Verification on Scientific Charts. | Ruiran Su, Jiasheng Si, Zhijiang Guo, Janet B. Pierrehumbert |
| 2024 | COLING | Probing Large Language Models for Scalar Adjective Lexical Semantics and Scalar Diversity Pragmatics. | Fangru Lin, Daniel Altshuler, Janet B. Pierrehumbert |
| 2024 | COLING | STEntConv: Predicting Disagreement between Reddit Users with Stance Detection and a Signed Graph Convolutional Network. | Isabelle Lorge, Li Zhang, Xiaowen Dong, Janet B. Pierrehumbert |
| 2024 | ICML | Graph-enhanced Large Language Models in Asynchronous Plan Reasoning. | Fangru Lin, Emanuele La Malfa, Valentin Hofmann, Elle Michelle Yang, Anthony G. Cohn, Janet B. Pierrehumbert |
| 2024 | NAACL | Time Machine GPT. | Felix Drinkall, Eghbal Rahimikia, Janet B. Pierrehumbert, Stefan Zohren |
| 2022 | ACL | An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers. | Valentin Hofmann, Hinrich Schtze, Janet B. Pierrehumbert |
| 2022 | ICML | Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology. | Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schtze |
| 2022 | ICWSM | The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse. | Valentin Hofmann, Hinrich Schtze, Janet B. Pierrehumbert |
| 2022 | NAACL | Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts. | Felix Drinkall, Stefan Zohren, Janet B. Pierrehumbert |
| 2022 | NAACL | Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity. | Valentin Hofmann, Xiaowen Dong, Janet B. Pierrehumbert, Hinrich Schtze |
| 2022 | NAACL | Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks. | Paul Rttger, Bertie Vidgen, Dirk Hovy, Janet B. Pierrehumbert |
| 2021 | ACL | Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words. | Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schtze |
| 2021 | ACL | Dynamic Contextualized Word Embeddings. | Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schtze |
| 2021 | ACL | HateCheck: Functional Tests for Hate Speech Detection Models. | Paul Rttger, Bertie Vidgen, Dong Nguyen, Zeerak Waseem, Helen Z. Margetts, Janet B. Pierrehumbert |
| 2021 | EMNLP | Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media. | Paul Rttger, Janet B. Pierrehumbert |
| 2020 | ACL | Predicting the Growth of Morphological Families from Social and Linguistic Factors. | Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schtze |
| 2020 | ACL | A Graph Auto-encoder Model of Derivational Morphology. | Valentin Hofmann, Hinrich Schtze, Janet B. Pierrehumbert |
| 2020 | EMNLP | DagoBERT: Generating Derivational Morphology with a Pretrained Language Model. | Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schtze |
| 2020 | Interspeech | The cognitive status of simple and complex models. | Janet B. Pierrehumbert |
| 2017 | CogSci | Prior Expectations in Linguistic Learning: A Stochastic Model of Individual Differences. | R. Alexander Schumacher, Janet B. Pierrehumbert |
| 2014 | CogSci | Real Words, Possible Words, and New Words. | Janet B. Pierrehumbert |
| 2014 | CogSci | Reconciling Inconsistency in Encoded Morphological Distinctions in an Artificial Language. | R. Alexander Schumacher, Janet B. Pierrehumbert, Patrick Lashell |
| 2014 | ICASSP | Subword-based modeling for handling OOV words inkeyword spotting. | Yanzhang He, Brian Hutchinson, Peter Baumann, Mari Ostendorf, Eric Fosler-Lussier, Janet B. Pierrehumbert |
| 2014 | LREC | Using Resource-Rich Languages to Improve Morphological Analysis of Under-Resourced Languages. | Peter Baumann, Janet B. Pierrehumbert |
| 2010 | Interspeech | Audio-visual anticipatory coarticulation modeling by human and machine. | Louis H. Terry, Karen Livescu, Janet B. Pierrehumbert, Aggelos K. Katsaggelos |
| 2007 | ACL | Much ado about nothing: A social network model of Russian paradigmatic gaps. | Robert Daland, Andrea D. Sims, Janet B. Pierrehumbert |
| 1992 | Interspeech | TOBI: a standard for labeling English prosody. | Kim E. A. Silverman, Mary E. Beckman, John F. Pitrelli, Mari Ostendorf, Colin W. Wightman, Patti Price, Janet B. Pierrehumbert, Julia Hirschberg |
| 1987 | IJCAI | Intonation and the Intentional Structure of Discourse. | Julia Hirschberg, Diane J. Litman, Janet B. Pierrehumbert, G. Ward |
| 1986 | ACL | Japanese prosodic phrasing and intonation Synthesis. | Mary E. Beckman, Janet B. Pierrehumbert |
| 1986 | ACL | The intonational Structuring of Discourse. | Julia Hirschberg, Janet B. Pierrehumbert |
| 1984 | ICASSP | Synthesis by rule of english intonation patterns. | Mark Anderson, Janet B. Pierrehumbert, Mark Y. Liberman |
| 1983 | ACL | Automatic Recognition of Intonation Patterns. | Janet B. Pierrehumbert |