Jacob Eisenstein

203 papers A* 35A 12B 3Misc 1Journal 97Unranked 51
YearRankTypeTitle / Venue / Authors
2026 J jnl
MT-PingEval: Evaluating Multi-Turn Collaboration with Private Information Games.
CoRR
Jacob Eisenstein, Fantine Huot, Adam Fisch, Jonathan Berant, Mirella Lapata
2026 J jnl
Multiple-Prediction-Powered Inference.
CoRR
Charlie Cowen-Breen, Alekh Agarwal, Stephen Bates, William W. Cohen, Jacob Eisenstein, Amir Globerson, Adam Fisch
2025 J jnl
ALTA: Compiler-Based Analysis of Transformers.
Trans. Mach. Learn. Res.
Peter Shaw, James Cohan, Jacob Eisenstein, Kenton Lee, Jonathan Berant, Kristina Toutanova
2025 J jnl
Bridging Kolmogorov Complexity and Deep Learning: Asymptotically Optimal Description Length Objectives for Transformers.
CoRR
Peter Shaw, James Cohan, Jacob Eisenstein, Kristina Toutanova
2025 J jnl
Cost-Optimal Active AI Model Evaluation.
CoRR
Anastasios N. Angelopoulos, Jacob Eisenstein, Jonathan Berant, Alekh Agarwal, Adam Fisch
2025 J jnl
Don't lie to your friends: Learning what you know from collaborative self-play.
CoRR
Jacob Eisenstein, Reza Aghajani, Adam Fisch, Dheeru Dua, Fantine Huot, Mirella Lapata, Vicky Zayats, Jonathan Berant
2025 A* conf
InfAlign: Inference-aware language model alignment.
ICML
Ananth Balashankar, Ziteng Sun, Jonathan Berant, Jacob Eisenstein, Michael Collins, Adrian Hutter, Jong Lee, Chirag Nagpal, Flavien Prost, Aradhana Sinha, Ananda Theertha Suresh, Ahmad Beirami
2025 J jnl
Learning Steerable Clarification Policies with Collaborative Self-play.
CoRR
Jonathan Berant, Maximillian Chen, Adam Fisch, Reza Aghajani, Fantine Huot, Mirella Lapata, Jacob Eisenstein
2025 J jnl
Plantain: Plan-Answer Interleaved Reasoning.
CoRR
Anthony Liang, Jonathan Berant, Adam Fisch, Abhimanyu Goyal, Kalpesh Krishna, Jacob Eisenstein
2025 — conf
Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models.
NAACL (Short Papers)
Dipankar Srirag, Aditya Joshi, Jacob Eisenstein
2025 A* conf
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning.
ICLR
Amrith Setlur, Chirag Nagpal, Adam Fisch, Xinyang Geng, Jacob Eisenstein, Rishabh Agarwal, Alekh Agarwal, Jonathan Berant, Aviral Kumar
2025 J jnl
Robust Preference Optimization through Reward Model Distillation.
Trans. Mach. Learn. Res.
Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal, Ahmad Beirami, Chirag Nagpal, Peter Shaw, Jonathan Berant
2025 A* conf
Theoretical guarantees on the best-of-n alignment policy.
ICML
Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander Nicholas D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh
2024 J jnl
ALTA: Compiler-Based Analysis of Transformers.
CoRR
Peter Shaw, James Cohan, Jacob Eisenstein, Kenton Lee, Jonathan Berant, Kristina Toutanova
2024 J jnl
InfAlign: Inference-aware language model alignment.
CoRR
Ananth Balashankar, Ziteng Sun, Jonathan Berant, Jacob Eisenstein, Michael Collins, Adrian Hutter, Jong Lee, Chirag Nagpal, Flavien Prost, Aradhana Sinha, Ananda Theertha Suresh, Ahmad Beirami
2024 J jnl
Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models.
CoRR
Dipankar Srirag, Aditya Joshi, Jacob Eisenstein
2024 A* conf
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment.
EMNLP
Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami
2024 J jnl
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment.
CoRR
Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami
2024 J jnl
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning.
CoRR
Amrith Setlur, Chirag Nagpal, Adam Fisch, Xinyang Geng, Jacob Eisenstein, Rishabh Agarwal, Alekh Agarwal, Jonathan Berant, Aviral Kumar
2024 J jnl
Robust Preference Optimization through Reward Model Distillation.
CoRR
Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal, Ahmad Beirami, Chirag Nagpal, Petet Shaw, Jonathan Berant
2024 J jnl
Theoretical guarantees on the best-of-n alignment policy.
CoRR
Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh
2024 A* conf
Transforming and Combining Rewards for Aligning Large Language Models.
ICML
Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alexander Nicholas D'Amour, Sanmi Koyejo, Victor Veitch
2024 J jnl
Transforming and Combining Rewards for Aligning Large Language Models.
CoRR
Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alex D'Amour, Sanmi Koyejo, Victor Veitch
2023 — conf
Dialect-robust Evaluation of Generated Text.
ACL (1)
Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann
2023 J jnl
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking.
CoRR
Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alex D'Amour, Dj Dvijotham, Adam Fisch, Katherine A. Heller, Stephen Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant
2023 A conf
MD3: The Multi-Dialect Dataset of Dialogues.
INTERSPEECH
Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma
2023 J jnl
MD3: The Multi-Dialect Dataset of Dialogues.
CoRR
Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma
2023 A* conf
Selectively Answering Ambiguous Questions.
EMNLP
Jeremy R. Cole, Michael J. Q. Zhang, Daniel Gillick, Julian Eisenschlos, Bhuwan Dhingra, Jacob Eisenstein
2023 J jnl
Selectively Answering Ambiguous Questions.
CoRR
Jeremy R. Cole, Michael J. Q. Zhang, Daniel Gillick, Julian Martin Eisenschlos, Bhuwan Dhingra, Jacob Eisenstein
2022 J jnl
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.
CoRR
Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster
2022 J jnl
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.
Trans. Assoc. Comput. Linguistics
Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
2022 J jnl
Dialect-robust Evaluation of Generated Text.
CoRR
Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann
2022 J jnl
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model.
CoRR
Jacob Eisenstein, Daniel Andor, Bernd Bohnet, Michael Collins, David Mimno
2022 — conf
Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language.
NAACL-HLT
Jacob Eisenstein
2022 J jnl
Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification.
CoRR
Murali Raghu Babu Balusu, Yangfeng Ji, Jacob Eisenstein
2022 — conf
Predicting Long-Term Citations from Short-Term Linguistic Influence.
EMNLP (Findings)
Sandeep Soni, David Bamman, Jacob Eisenstein
2022 J jnl
Predicting Long-Term Citations from Short-Term Linguistic Influence.
CoRR
Sandeep Soni, David Bamman, Jacob Eisenstein
2022 A* conf
The MultiBERTs: BERT Reproductions for Robustness Analysis.
ICLR
Thibault Sellam, Steve Yadlowsky, Ian Tenney, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Raluca Turc, Jacob Eisenstein, Dipanjan Das, Ellie Pavlick
2022 J jnl
Time-Aware Language Models as Temporal Knowledge Bases.
Trans. Assoc. Comput. Linguistics
Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, William W. Cohen
2022 J jnl
Underspecification Presents Challenges for Credibility in Modern Machine Learning.
J. Mach. Learn. Res.
Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley
2022 J jnl
Uninformative Input Features and Counterfactual Invariance: Two Perspectives on Spurious Correlations in Natural Language.
CoRR
Jacob Eisenstein
2021 J jnl
Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers.
CoRR
Sandeep Soni, Lauren F. Klein, Jacob Eisenstein
2021 J jnl
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.
CoRR
Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
2021 A* conf
Counterfactual Invariance to Spurious Correlations in Text Classification.
NeurIPS
Victor Veitch, Alexander D'Amour, Steve Yadlowsky, Jacob Eisenstein
2021 J jnl
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests.
CoRR
Victor Veitch, Alexander D'Amour, Steve Yadlowsky, Jacob Eisenstein
2021 J jnl
Follow the leader: Documents on the leading edge of semantic change get more citations.
J. Assoc. Inf. Sci. Technol.
Sandeep Soni, Kristina Lerman, Jacob Eisenstein
2021 J jnl
Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information.
CoRR
Yuval Pinter, Amanda Stent, Mark Dredze, Jacob Eisenstein
2021 — conf
Learning to Recognize Dialect Features.
NAACL-HLT
Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein
2021 J jnl
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer.
CoRR
Iulia Turc, Kenton Lee, Jacob Eisenstein, Ming-Wei Chang, Kristina Toutanova
2021 J jnl
Sparse, Dense, and Attentional Representations for Text Retrieval.
Trans. Assoc. Comput. Linguistics
Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins
2021 J jnl
The MultiBERTs: BERT Reproductions for Robustness Analysis.
CoRR
Thibault Sellam, Steve Yadlowsky, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Turc, Jacob Eisenstein, Dipanjan Das, Ian Tenney, Ellie Pavlick
2021 J jnl
Time-Aware Language Models as Temporal Knowledge Bases.
CoRR
Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, William W. Cohen
2021 J jnl
Tuiteamos o pongamos un tuit? Investigating the Social Constraints of Loanword Integration in Spanish Social Media.
CoRR
Ian Stewart, Diyi Yang, Jacob Eisenstein
2020 A* conf
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation.
ACL
Yong Cheng, Lu Jiang, Wolfgang Macherey, Jacob Eisenstein
2020 J jnl
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation.
CoRR
Yong Cheng, Lu Jiang, Wolfgang Macherey, Jacob Eisenstein
2020 A conf
Characterizing Collective Attention via Descriptor Context: A Case Study of Public Discussions of Crisis Events.
ICWSM
Ian Stewart, Diyi Yang, Jacob Eisenstein
2020 J jnl
How We Do Things With Words: Analyzing Text as Social and Cultural Data.
Frontiers Artif. Intell.
Dong Nguyen, Maria Liakata, Simon DeDeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, Jane Winters
2020 J jnl
Learning to Recognize Dialect Features.
CoRR
Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein
2020 J jnl
Sparse, Dense, and Attentional Representations for Text Retrieval.
CoRR
Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins
2020 J jnl
Underspecification Presents Challenges for Credibility in Modern Machine Learning.
CoRR
Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley
2020 — conf
Will it Unblend?
EMNLP (Findings)
Yuval Pinter, Cassandra L. Jacobs, Jacob Eisenstein
2020 J jnl
Will it Unblend?
CoRR
Yuval Pinter, Cassandra L. Jacobs, Jacob Eisenstein
2019 — conf
Character Eyes: Seeing Language through Character-Level Taggers.
BlackboxNLP@ACL
Yuval Pinter, Marc Marone, Jacob Eisenstein
2019 J jnl
Character Eyes: Seeing Language through Character-Level Taggers.
CoRR
Yuval Pinter, Marc Marone, Jacob Eisenstein
2019 J jnl
Characterizing Collective Attention via Descriptor Context in Public Discussions of Crisis Events.
CoRR
Ian Stewart, Diyi Yang, Jacob Eisenstein
2019 — conf
Clinical Concept Extraction for Document-Level Coding.
BioNLP@ACL
Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein
2019 J jnl
Clinical Concept Extraction for Document-Level Coding.
CoRR
Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein
2019 — conf
Correcting Whitespace Errors in Digitized Historical Texts.
LaTeCH@NAACL-HLT
Sandeep Soni, Lauren F. Klein, Jacob Eisenstein
2019 — conf
Detecting Social Influence in Event Cascades by Comparing Discriminative Rankers.
CD@KDD
Sandeep Soni, Shawn Ling Ramirez, Jacob Eisenstein
2019 J jnl
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations.
CoRR
Sandeep Soni, Kristina Lerman, Jacob Eisenstein
2019 J jnl
How we do things with words: Analyzing text as social and cultural data.
CoRR
Dong Nguyen, Maria Liakata, Simon DeDeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, Jane Winters
2019 — conf
Measuring and Modeling Language Change.
NAACL-HLT (Tutorial Abstracts)
Jacob Eisenstein
2019 — conf
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution.
ACL (1)
Fei Liu, Luke Zettlemoyer, Jacob Eisenstein
2019 J jnl
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution.
CoRR
Fei Liu, Luke Zettlemoyer, Jacob Eisenstein
2019 — conf
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation.
W-NUT@EMNLP
Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad
2019 J jnl
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation.
CoRR
Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad
2019 — conf
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling.
EMNLP/IJCNLP (1)
Xiaochuang Han, Jacob Eisenstein
2019 J jnl
Unsupervised Domain Adaptation of Contextualized Embeddings: A Case Study in Early Modern English.
CoRR
Xiaochuang Han, Jacob Eisenstein
2018 J jnl
Discriminative Modeling of Social Influence for Prediction and Explanation in Event Cascades.
CoRR
Sandeep Soni, Shawn Ling Ramirez, Jacob Eisenstein
2018 — conf
Explainable Prediction of Medical Codes from Clinical Text.
NAACL-HLT
James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein
2018 J jnl
Explainable Prediction of Medical Codes from Clinical Text.
CoRR
James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein
2018 J jnl
Interactional Stancetaking in Online Forums.
Comput. Linguistics
Scott F. Kiesling, Umashanthi Pavalanathan, Jim Fitzpatrick, Xiaochuang Han, Jacob Eisenstein
2018 A* conf
Making "fetch" happen: The influence of social and linguistic context on nonstandard word growth and decline.
EMNLP
Ian Stewart, Jacob Eisenstein
2018 J jnl
Mind Your POV: Convergence of Articles and Editors Towards Wikipedia's Neutrality Norm.
CoRR
Umashanthi Pavalanathan, Xiaochuang Han, Jacob Eisenstein
2018 J jnl
Mind Your POV: Convergence of Articles and Editors Towards Wikipedia's Neutrality Norm.
Proc. ACM Hum. Comput. Interact.
Umashanthi Pavalanathan, Xiaochuang Han, Jacob Eisenstein
2018 A* conf
Predicting Semantic Relations using Global Graph Properties.
EMNLP
Yuval Pinter, Jacob Eisenstein
2018 J jnl
Predicting Semantic Relations using Global Graph Properties.
CoRR
Yuval Pinter, Jacob Eisenstein
2018 — ed.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Tutorial Abstracts
ACL (5)
Yoav Artzi, Jacob Eisenstein
2018 — conf
Si O No, Que Penses? Catalonian Independence and Linguistic Identity on Social Media.
NAACL-HLT (2)
Ian Stewart, Yuval Pinter, Jacob Eisenstein
2018 J jnl
Stylistic Variation in Social Media Part-of-Speech Tagging.
CoRR
Murali Raghu Babu Balusu, Taha Merghani, Jacob Eisenstein
2018 J jnl
Sí o no, què penses? Catalonian Independence and Linguistic Identity on Social Media.
CoRR
Ian Stewart, Yuval Pinter, Jacob Eisenstein
2018 J jnl
The Internet's Hidden Rules: An Empirical Study of Reddit Norm Violations at Micro, Meso, and Macro Scales.
Proc. ACM Hum. Comput. Interact.
Eshwar Chandrasekharan, Mattia Samory, Shagun Jhaver, Hunter Charvat, Amy S. Bruckman, Cliff Lampe, Jacob Eisenstein, Eric Gilbert
2017 — conf
#Anorexia, #anarexia, #anarexyia: Characterizing online community practices with orthographic variation.
IEEE BigData
Ian Stewart, Stevie Chancellor, Munmun De Choudhury, Jacob Eisenstein
2017 J jnl
#anorexia, #anarexia, #anarexyia: Characterizing Online Community Practices with Orthographic Variation.
CoRR
Ian Stewart, Stevie Chancellor, Munmun De Choudhury, Jacob Eisenstein
2017 J jnl
A Kernel Independence Test for Geographical Language Variation.
Comput. Linguistics
Dong Nguyen, Jacob Eisenstein
2017 — conf
A Multidimensional Lexicon for Interpersonal Stancetaking.
ACL (1)
Umashanthi Pavalanathan, Jim Fitzpatrick, Scott F. Kiesling, Jacob Eisenstein
2017 J jnl
Making "fetch" happen: The influence of social and linguistic context on the success of lexical innovations.
CoRR
Ian Stewart, Jacob Eisenstein
2017 A* conf
Mimicking Word Embeddings using Subword RNNs.
EMNLP
Yuval Pinter, Robert Guthrie, Jacob Eisenstein
2017 J jnl
Mimicking Word Embeddings using Subword RNNs.
CoRR
Yuval Pinter, Robert Guthrie, Jacob Eisenstein
2017 J jnl
Overcoming Language Variation in Sentiment Analysis with Social Attention.
Trans. Assoc. Comput. Linguistics
Yi Yang, Jacob Eisenstein
2017 A* conf
Unsupervised Learning for Lexicon-Based Classification.
AAAI
Jacob Eisenstein
2017 J jnl
You Can't Stay Here: The Efficacy of Reddit's 2015 Ban Examined Through Hate Speech.
Proc. ACM Hum. Comput. Interact.
Eshwar Chandrasekharan, Umashanthi Pavalanathan, Anirudh Srinivasan, Adam Glynn, Jacob Eisenstein, Eric Gilbert
2016 — conf
A Joint Model of Rhetorical Discourse Structure and Summarization.
SPNLP@EMNLP
Naman Goyal, Jacob Eisenstein
2016 J jnl
A Kernel Independence Test for Geographical Language Variation.
CoRR
Dong Nguyen, Jacob Eisenstein
2016 J jnl
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models.
CoRR
Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein
2016 — conf
A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models.
HLT-NAACL
Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein
2016 J jnl
More emojis, less : ) The competition for paralinguistic function in microblog writing.
First Monday
Umashanthi Pavalanathan, Jacob Eisenstein
2016 A* conf
Morphological Priors for Probabilistic Neural Word Embeddings.
EMNLP
Parminder Bhatia, Robert Guthrie, Jacob Eisenstein
2016 J jnl
Morphological Priors for Probabilistic Neural Word Embeddings.
CoRR
Parminder Bhatia, Robert Guthrie, Jacob Eisenstein
2016 J jnl
Nonparametric Bayesian Storyline Detection from Microtexts.
CoRR
Vinodh Krishnan Elangovan, Jacob Eisenstein
2016 — conf
Part-of-Speech Tagging for Historical English.
HLT-NAACL
Yi Yang, Jacob Eisenstein
2016 J jnl
Part-of-Speech Tagging for Historical English.
CoRR
Yi Yang, Jacob Eisenstein
2016 — ed.
Proceedings of the First Workshop on NLP and Computational Social Science, NLP+CSS@EMNLP 2016, Austin, TX, USA, November 5, 2016
NLP+CSS@EMNLP
David Bamman, A. Seza Dogruöz, Jacob Eisenstein, Dirk Hovy, David Jurgens, Brendan O'Connor, Alice Oh, Oren Tsur, Svitlana Volkova
2016 J jnl
Shallow Discourse Parsing Using Distributed Argument Representations and Bayesian Optimization.
CoRR
Akanksha, Jacob Eisenstein
2016 — conf
The Social Dynamics of Language Change in Online Networks.
SocInfo (1)
Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna M. Wallach, Fernando Diaz, Jacob Eisenstein
2016 J jnl
The Social Dynamics of Language Change in Online Networks.
CoRR
Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna M. Wallach, Fernando Diaz, Jacob Eisenstein
2016 A* conf
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities.
EMNLP
Yi Yang, Ming-Wei Chang, Jacob Eisenstein
2016 J jnl
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities.
CoRR
Yi Yang, Ming-Wei Chang, Jacob Eisenstein
2016 J jnl
Unsupervised Learning for Lexicon-Based Classification.
CoRR
Jacob Eisenstein
2015 — conf
"You're Mr. Lebowski, I'm the Dude": Inducing Address Term Formality in Signed Social Networks.
HLT-NAACL
Vinodh Krishnan Elangovan, Jacob Eisenstein
2015 A* conf
Better Document-level Sentiment Analysis from RST Discourse Parsing.
EMNLP
Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein
2015 J jnl
Better Document-level Sentiment Analysis from RST Discourse Parsing.
CoRR
Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein
2015 A* conf
Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations.
EMNLP
Yangfeng Ji, Gongbo Zhang, Jacob Eisenstein
2015 A* conf
Confounds and Consequences in Geotagged Twitter Data.
EMNLP
Umashanthi Pavalanathan, Jacob Eisenstein
2015 J jnl
Confounds and Consequences in Geotagged Twitter Data.
CoRR
Umashanthi Pavalanathan, Jacob Eisenstein
2015 J jnl
Document Context Language Models.
CoRR
Yangfeng Ji, Trevor Cohn, Lingpeng Kong, Chris Dyer, Jacob Eisenstein
2015 J jnl
Emoticons vs. Emojis on Twitter: A Causal Inference Approach.
CoRR
Umashanthi Pavalanathan, Jacob Eisenstein
2015 — conf
Entity-Augmented Distributional Semantics for Discourse Relations.
ICLR (Workshop)
Yangfeng Ji, Jacob Eisenstein
2015 J jnl
Exploratory Thematic Analysis for Digitized Archival Collections.
Digit. Scholarsh. Humanit.
Lauren F. Klein, Jacob Eisenstein, Iris Sun
2015 J jnl
Identifying visual attributes for object recognition from text and taxonomy.
Comput. Vis. Image Underst.
Caglar Tirkaz, Jacob Eisenstein, T. Metin Sezgin, Berrin A. Yanikoglu
2015 J jnl
One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations.
Trans. Assoc. Comput. Linguistics
Yangfeng Ji, Jacob Eisenstein
2015 A conf
Psychological Effects of Urban Crime Gleaned from Social Media.
ICWSM
Jose Manuel Delgado Valdes, Jacob Eisenstein, Munmun De Choudhury
2015 J jnl
Putting Things in Context: Community-specific Embedding Projections for Sentiment Analysis.
CoRR
Yi Yang, Jacob Eisenstein
2015 — conf
Unsupervised Domain Adaptation with Feature Embeddings.
ICLR (Workshop)
Yi Yang, Jacob Eisenstein
2015 — conf
Unsupervised Multi-Domain Adaptation with Feature Embeddings.
HLT-NAACL
Yi Yang, Jacob Eisenstein
2014 — conf
Exploratory Thematic Analysis for Historical Newspaper Archives.
DH
Jacob Eisenstein, Iris Sun, Lauren F. Klein
2014 — conf
Fast Easy Unsupervised Domain Adaptation with Marginalized Structured Dropout.
ACL (2)
Yi Yang, Jacob Eisenstein
2014 J jnl
Learning Document-Level Semantic Properties from Free-Text Annotations.
CoRR
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Regina Barzilay
2014 — conf
Mining Themes and Interests in the Asperger's and Autism Community.
CLPsych@ACL
Yangfeng Ji, Hwajung Hong, Rosa I. Arriaga, Agata Rozga, Gregory D. Abowd, Jacob Eisenstein
2014 — conf
Modeling Factuality Judgments in Social Media Text.
ACL (2)
Sandeep Soni, Tanushree Mitra, Eric Gilbert, Jacob Eisenstein
2014 J jnl
Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches.
CoRR
Tahira Naseem, Benjamin Snyder, Jacob Eisenstein, Regina Barzilay
2014 J jnl
One Vector is Not Enough: Entity-Augmented Distributional Semantics for Discourse Relations.
CoRR
Yangfeng Ji, Jacob Eisenstein
2014 — conf
POS induction with distributional and morphological information using a distance-dependent Chinese restaurant process.
ACL (2)
Kairit Sirts, Jacob Eisenstein, Micha Elsner, Sharon Goldwater
2014 — ed.
Proceedings of the Workshop on Language Technologies and Computational Social Science@ACL 2014, Baltimore, MD, USA, June 26, 2014
LTCSS@ACL
Cristian Danescu-Niculescu-Mizil, Jacob Eisenstein, Kathleen R. McKeown, Noah A. Smith
2014 — conf
Representation Learning for Text-level Discourse Parsing.
ACL (1)
Yangfeng Ji, Jacob Eisenstein
2014 J jnl
Unsupervised Induction of Signed Social Networks from Content and Structure.
CoRR
Vinodh Krishnan Elangovan, Jacob Eisenstein
2013 A* conf
A Log-Linear Model for Unsupervised Text Normalization.
EMNLP
Yi Yang, Jacob Eisenstein
2013 A conf
Automated text mining for requirements analysis of policy documents.
RE
Aaron K. Massey, Jacob Eisenstein, Annie I. Antón, Peter P. Swire
2013 — conf
Discourse Connectors for Latent Subjectivity in Sentiment Analysis.
HLT-NAACL
Rakshit S. Trivedi, Jacob Eisenstein
2013 A* conf
Discriminative Improvements to Distributional Sentence Similarity.
EMNLP
Yangfeng Ji, Jacob Eisenstein
2013 — conf
What to do about bad language on the internet.
HLT-NAACL
Jacob Eisenstein
2012 — conf
Bootstrapping a Unified Model of Lexical and Phonetic Acquisition.
ACL (1)
Micha Elsner, Sharon Goldwater, Jacob Eisenstein
2012 A* conf
Document hierarchies from text and links.
WWW
Qirong Ho, Jacob Eisenstein, Eric P. Xing
2012 J jnl
Gender in Twitter: Styles, stances, and social networks
CoRR
David Bamman, Jacob Eisenstein, Tyler Schnoebelen
2012 J jnl
Mapping the geographical diffusion of new words
CoRR
Jacob Eisenstein, Brendan O'Connor, Noah A. Smith, Eric P. Xing
2012 — conf
TopicViz: interactive topic exploration in document collections.
CHI Extended Abstracts
Jacob Eisenstein, Duen Horng Chau, Aniket Kittur, Eric P. Xing
2011 A* conf
Discovering Sociolinguistic Associations with Structured Sparsity.
ACL
Jacob Eisenstein, Noah A. Smith, Eric P. Xing
2011 A conf
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text.
AISTATS
Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alexander J. Smola, Eric P. Xing
2011 — conf
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments.
ACL (2)
Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, Noah A. Smith
2011 A* conf
Sparse Additive Generative Models of Text.
ICML
Jacob Eisenstein, Amr Ahmed, Eric P. Xing
2011 — conf
Structured Databases of Named Entities from Bayesian Nonparametrics.
ULNLP@EMNLP
Jacob Eisenstein, Tae Yano, William W. Cohen, Noah A. Smith, Eric P. Xing
2011 J jnl
TopicScape: Semantic Navigation of Document Collections
CoRR
Jacob Eisenstein, Duen Horng Chau, Aniket Kittur, Eric P. Xing
2011 A* conf
Unified analysis of streaming news.
WWW
Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric P. Xing, Alexander J. Smola, Choon Hui Teo
2010 A* conf
A Latent Variable Model for Geographic Lexical Variation.
EMNLP
Jacob Eisenstein, Brendan O'Connor, Noah A. Smith, Eric P. Xing
2009 — conf
Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: a Bayesian Non-Parametric Approach.
HLT-NAACL
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, Regina Barzilay
2009 — conf
Hierarchical Text Segmentation from Multi-Scale Lexical Cohesion.
HLT-NAACL
Jacob Eisenstein
2009 J jnl
Learning Document-Level Semantic Properties from Free-Text Annotations.
J. Artif. Intell. Res.
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Regina Barzilay
2009 J jnl
Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches.
J. Artif. Intell. Res.
Tahira Naseem, Benjamin Snyder, Jacob Eisenstein, Regina Barzilay
2009 A* conf
Reading to Learn: Constructing Features from Semantic Abstracts.
EMNLP
Jacob Eisenstein, James Clarke, Dan Goldwasser, Dan Roth
2008 A* conf
Bayesian Unsupervised Topic Segmentation.
EMNLP
Jacob Eisenstein, Regina Barzilay
2008 A* conf
Discourse Topic and Gestural Form.
AAAI
Jacob Eisenstein, Regina Barzilay, Randall Davis
2008 A* conf
Gestural Cohesion for Topic Segmentation.
ACL
Jacob Eisenstein, Regina Barzilay, Randall Davis
2008 J jnl
Gesture Salience as a Hidden Variable for Coreference Resolution and Keyframe Extraction.
J. Artif. Intell. Res.
Jacob Eisenstein, Regina Barzilay, Randall Davis
2008 A* conf
Learning Document-Level Semantic Properties from Free-Text Annotations.
ACL
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Regina Barzilay
2008 — —
Structured models of gesture for discourse processing.
Jacob Eisenstein
2008 A* conf
Unsupervised Multilingual Learning for POS Tagging.
EMNLP
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, Regina Barzilay
2007 A* conf
Conditional Modality Fusion for Coreference Resolution.
ACL
Jacob Eisenstein, Randall Davis
2007 A* conf
Turning Lectures into Comic Books Using Linguistically Salient Gestures.
AAAI
Jacob Eisenstein, Regina Barzilay, Randall Davis
2007 — conf
Visual and linguistic information in gesture classification.
SIGGRAPH Courses
Jacob Eisenstein, Randall Davis
2006 — conf
Gesture Features for Coreference Resolution.
MLMI
Jacob Eisenstein, Randall Davis
2006 — conf
Gesture Improves Coreference Resolution.
HLT-NAACL
Jacob Eisenstein, Randall Davis
2006 A* conf
Interacting with communication appliances: an evaluation of two computer vision-based selection techniques.
CHI
Jacob Eisenstein, Wendy E. Mackay
2006 — conf
Natural gesture in descriptive monologues.
SIGGRAPH Courses
Jacob Eisenstein, Randall Davis
2006 — conf
Semantic Back-Pointers from Gesture.
HLT-NAACL
Jacob Eisenstein
2006 — conf
Visual and linguistic information in gesture classification.
SIGGRAPH Courses
Jacob Eisenstein, Randall Davis
2004 — conf
A Salience-Based Approach to Gesture-Speech Alignment.
HLT-NAACL
Jacob Eisenstein, C. Mario Christoudias
2004 — conf
Building the Design Studio of the Future.
AAAI Technical Report (6)
Aaron Adler, Jacob Eisenstein, Michael Oltmans, Lisa Guttentag, Randall Davis
2004 B conf
Gestural cues for speech understanding.
ICMI
Jacob Eisenstein
2004 B conf
Visual and linguistic information in gesture classification.
ICMI
Jacob Eisenstein, Randall Davis
2003 A* conf
Device Independence and Extensibility in Gesture Recognition.
VR
Jacob Eisenstein, Shahram Ghandeharizadeh, Leana Golubchik, Cyrus Shahabi, Donghui Yan, Roger Zimmermann
2002 A conf
A GUI editor that generates tutoring agents.
IUI
Jacob Eisenstein, Charles Rich
2002 A conf
Agents and GUIs from task models.
IUI
Jacob Eisenstein, Charles Rich
2002 — conf
Model-Based Approaches to Reengineering Web Pages.
TAMODIA
Laurent Bouillon, Jean Vanderdonckt, Jacob Eisenstein
2002 A conf
XIML: a common representation for interaction data .
IUI
Angel R. Puerta, Jacob Eisenstein
2001 A conf
Alternative Representations and Abstractions for Moving Sensors Databases.
CIKM
Jacob Eisenstein, Shahram Ghandeharizadeh, Cyrus Shahabi, Gautam Shanbhag, Roger Zimmermann
2001 A conf
Applying model-based techniques to the development of UIs for mobile computers.
IUI
Jacob Eisenstein, Jean Vanderdonckt, Angel R. Puerta
2001 Misc conf
Modeling preference for adaptive user-interfaces.
HCI
Jacob Eisenstein
2000 A conf
Adaptation in automated user-interface design.
IUI
Jacob Eisenstein, Angel R. Puerta
2000 — conf
Adapting to mobile contexts with user-interface modeling.
WMCSA
Jacob Eisenstein, Jean Vanderdonckt, Angel R. Puerta
1999 B conf
Individual and/versus social creativity (panel session).
Creativity & Cognition
Ernest A. Edmonds, Linda Candy, Geoff Cox, Jacob Eisenstein, Gerhard Fischer, Bob Hughes, Thomas T. Hewett
1999 — conf
Learning Design Guidelines by Theory Refinement.
AAAI/IAAI
Jacob Eisenstein
1999 A conf
Towards a General Computational Framework for Model-Based Interface Development Systems.
IUI
Angel R. Puerta, Jacob Eisenstein
1999 J jnl
Towards a general computational framework for model-based interface development systems.
Knowl. Based Syst.
Angel R. Puerta, Jacob Eisenstein