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Jacob Eisenstein
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- affiliation: Google Research, Seattle, WA, USA
- affiliation: Georgia Institute of Technology, School of Interactive Computing, Atlanta, GA, USA
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2020 – today
- 2024
- [c98]Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami:
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment. EMNLP 2024: 1332-1353 - [c97]Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alexander Nicholas D'Amour, Sanmi Koyejo, Victor Veitch:
Transforming and Combining Rewards for Aligning Large Language Models. ICML 2024 - [i68]Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh:
Theoretical guarantees on the best-of-n alignment policy. CoRR abs/2401.01879 (2024) - [i67]Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alex D'Amour, Sanmi Koyejo, Victor Veitch:
Transforming and Combining Rewards for Aligning Large Language Models. CoRR abs/2402.00742 (2024) - [i66]Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami:
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment. CoRR abs/2404.12318 (2024) - [i65]Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal, Ahmad Beirami, Chirag Nagpal, Petet Shaw, Jonathan Berant:
Robust Preference Optimization through Reward Model Distillation. CoRR abs/2405.19316 (2024) - [i64]Dipankar Srirag
, Aditya Joshi, Jacob Eisenstein:
Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models. CoRR abs/2409.00358 (2024) - [i63]Amrith Setlur, Chirag Nagpal, Adam Fisch, Xinyang Geng, Jacob Eisenstein, Rishabh Agarwal, Alekh Agarwal, Jonathan Berant, Aviral Kumar:
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning. CoRR abs/2410.08146 (2024) - [i62]Peter Shaw, James Cohan, Jacob Eisenstein, Kenton Lee, Jonathan Berant, Kristina Toutanova:
ALTA: Compiler-Based Analysis of Transformers. CoRR abs/2410.18077 (2024) - [i61]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:
InfAlign: Inference-aware language model alignment. CoRR abs/2412.19792 (2024) - 2023
- [c96]Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann:
Dialect-robust Evaluation of Generated Text. ACL (1) 2023: 6010-6028 - [c95]Jeremy R. Cole, Michael J. Q. Zhang, Daniel Gillick, Julian Eisenschlos, Bhuwan Dhingra, Jacob Eisenstein:
Selectively Answering Ambiguous Questions. EMNLP 2023: 530-543 - [c94]Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma:
MD3: The Multi-Dialect Dataset of Dialogues. INTERSPEECH 2023: 4059-4063 - [i60]Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky
, Devyani Sharma:
MD3: The Multi-Dialect Dataset of Dialogues. CoRR abs/2305.11355 (2023) - [i59]Jeremy R. Cole, Michael J. Q. Zhang, Daniel Gillick, Julian Martin Eisenschlos, Bhuwan Dhingra, Jacob Eisenstein:
Selectively Answering Ambiguous Questions. CoRR abs/2305.14613 (2023) - [i58]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:
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking. CoRR abs/2312.09244 (2023) - 2022
- [j20]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:
Underspecification Presents Challenges for Credibility in Modern Machine Learning. J. Mach. Learn. Res. 23: 226:1-226:61 (2022) - [j19]Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, William W. Cohen:
Time-Aware Language Models as Temporal Knowledge Bases. Trans. Assoc. Comput. Linguistics 10: 257-273 (2022) - [j18]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:
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. Trans. Assoc. Comput. Linguistics 10: 1138-1158 (2022) - [c93]Sandeep Soni, David Bamman, Jacob Eisenstein:
Predicting Long-Term Citations from Short-Term Linguistic Influence. EMNLP (Findings) 2022: 5700-5716 - [c92]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:
The MultiBERTs: BERT Reproductions for Robustness Analysis. ICLR 2022 - [c91]Jacob Eisenstein:
Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language. NAACL-HLT 2022: 4326-4331 - [i57]Jacob Eisenstein:
Uninformative Input Features and Counterfactual Invariance: Two Perspectives on Spurious Correlations in Natural Language. CoRR abs/2204.04487 (2022) - [i56]Jacob Eisenstein, Daniel Andor, Bernd Bohnet, Michael Collins, David Mimno:
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model. CoRR abs/2210.02498 (2022) - [i55]Murali Raghu Babu Balusu, Yangfeng Ji, Jacob Eisenstein:
Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification. CoRR abs/2210.11005 (2022) - [i54]Sandeep Soni, David Bamman, Jacob Eisenstein:
Predicting Long-Term Citations from Short-Term Linguistic Influence. CoRR abs/2210.13628 (2022) - [i53]Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann:
Dialect-robust Evaluation of Generated Text. CoRR abs/2211.00922 (2022) - [i52]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:
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR abs/2212.08037 (2022) - 2021
- [j17]Sandeep Soni, Kristina Lerman, Jacob Eisenstein:
Follow the leader: Documents on the leading edge of semantic change get more citations. J. Assoc. Inf. Sci. Technol. 72(4): 478-492 (2021) - [j16]Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins:
Sparse, Dense, and Attentional Representations for Text Retrieval. Trans. Assoc. Comput. Linguistics 9: 329-345 (2021) - [c90]Dorottya Demszky
, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein:
Learning to Recognize Dialect Features. NAACL-HLT 2021: 2315-2338 - [c89]Victor Veitch, Alexander D'Amour, Steve Yadlowsky, Jacob Eisenstein:
Counterfactual Invariance to Spurious Correlations in Text Classification. NeurIPS 2021: 16196-16208 - [i51]Ian Stewart, Diyi Yang, Jacob Eisenstein:
Tuiteamos o pongamos un tuit? Investigating the Social Constraints of Loanword Integration in Spanish Social Media. CoRR abs/2101.06368 (2021) - [i50]Sandeep Soni, Lauren F. Klein, Jacob Eisenstein:
Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers. CoRR abs/2103.07538 (2021) - [i49]Victor Veitch, Alexander D'Amour, Steve Yadlowsky, Jacob Eisenstein:
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests. CoRR abs/2106.00545 (2021) - [i48]Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, William W. Cohen:
Time-Aware Language Models as Temporal Knowledge Bases. CoRR abs/2106.15110 (2021) - [i47]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:
The MultiBERTs: BERT Reproductions for Robustness Analysis. CoRR abs/2106.16163 (2021) - [i46]Iulia Turc, Kenton Lee, Jacob Eisenstein, Ming-Wei Chang, Kristina Toutanova:
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer. CoRR abs/2106.16171 (2021) - [i45]Yuval Pinter, Amanda Stent, Mark Dredze, Jacob Eisenstein:
Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information. CoRR abs/2108.00391 (2021) - [i44]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:
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. CoRR abs/2109.00725 (2021) - 2020
- [j15]Dong Nguyen
, Maria Liakata, Simon DeDeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, Jane Winters:
How We Do Things With Words: Analyzing Text as Social and Cultural Data. Frontiers Artif. Intell. 3: 62 (2020) - [c88]Yong Cheng, Lu Jiang, Wolfgang Macherey, Jacob Eisenstein:
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation. ACL 2020: 5961-5970 - [c87]Yuval Pinter
, Cassandra L. Jacobs, Jacob Eisenstein:
Will it Unblend? EMNLP (Findings) 2020: 1525-1535 - [c86]Ian Stewart, Diyi Yang, Jacob Eisenstein:
Characterizing Collective Attention via Descriptor Context: A Case Study of Public Discussions of Crisis Events. ICWSM 2020: 650-660 - [i43]Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins:
Sparse, Dense, and Attentional Representations for Text Retrieval. CoRR abs/2005.00181 (2020) - [i42]Yong Cheng, Lu Jiang, Wolfgang Macherey, Jacob Eisenstein:
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation. CoRR abs/2006.11834 (2020) - [i41]Yuval Pinter, Cassandra L. Jacobs, Jacob Eisenstein:
Will it Unblend? CoRR abs/2009.09123 (2020) - [i40]Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein:
Learning to Recognize Dialect Features. CoRR abs/2010.12707 (2020) - [i39]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:
Underspecification Presents Challenges for Credibility in Modern Machine Learning. CoRR abs/2011.03395 (2020)
2010 – 2019
- 2019
- [c85]Fei Liu, Luke Zettlemoyer, Jacob Eisenstein:
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution. ACL (1) 2019: 5918-5925 - [c84]Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad:
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation. W-NUT@EMNLP 2019: 42-47 - [c83]Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein:
Clinical Concept Extraction for Document-Level Coding. BioNLP@ACL 2019: 261-272 - [c82]Yuval Pinter
, Marc Marone, Jacob Eisenstein:
Character Eyes: Seeing Language through Character-Level Taggers. BlackboxNLP@ACL 2019: 95-102 - [c81]Xiaochuang Han, Jacob Eisenstein:
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling. EMNLP/IJCNLP (1) 2019: 4237-4247 - [c80]Sandeep Soni, Shawn Ling Ramirez, Jacob Eisenstein:
Detecting Social Influence in Event Cascades by Comparing Discriminative Rankers. CD@KDD 2019: 78-99 - [c79]Sandeep Soni, Lauren F. Klein, Jacob Eisenstein:
Correcting Whitespace Errors in Digitized Historical Texts. LaTeCH@NAACL-HLT 2019: 98-103 - [c78]Jacob Eisenstein:
Measuring and Modeling Language Change. NAACL-HLT (Tutorial Abstracts) 2019: 9-14 - [i38]Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad:
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation. CoRR abs/1902.01509 (2019) - [i37]Fei Liu, Luke Zettlemoyer, Jacob Eisenstein:
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution. CoRR abs/1902.01541 (2019) - [i36]Yuval Pinter, Marc Marone, Jacob Eisenstein:
Character Eyes: Seeing Language through Character-Level Taggers. CoRR abs/1903.05041 (2019) - [i35]Xiaochuang Han, Jacob Eisenstein:
Unsupervised Domain Adaptation of Contextualized Embeddings: A Case Study in Early Modern English. CoRR abs/1904.02817 (2019) - [i34]Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein:
Clinical Concept Extraction for Document-Level Coding. CoRR abs/1906.03380 (2019) - [i33]Dong Nguyen, Maria Liakata, Simon DeDeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, Jane Winters:
How we do things with words: Analyzing text as social and cultural data. CoRR abs/1907.01468 (2019) - [i32]Sandeep Soni, Kristina Lerman, Jacob Eisenstein:
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations. CoRR abs/1909.04189 (2019) - [i31]Ian Stewart, Diyi Yang, Jacob Eisenstein:
Characterizing Collective Attention via Descriptor Context in Public Discussions of Crisis Events. CoRR abs/1909.08784 (2019) - 2018
- [j14]Scott F. Kiesling
, Umashanthi Pavalanathan, Jim Fitzpatrick, Xiaochuang Han, Jacob Eisenstein:
Interactional Stancetaking in Online Forums. Comput. Linguistics 44(4) (2018) - [j13]Eshwar Chandrasekharan
, Mattia Samory
, Shagun Jhaver, Hunter Charvat, Amy S. Bruckman, Cliff Lampe, Jacob Eisenstein, Eric Gilbert:
The Internet's Hidden Rules: An Empirical Study of Reddit Norm Violations at Micro, Meso, and Macro Scales. Proc. ACM Hum. Comput. Interact. 2(CSCW): 32:1-32:25 (2018) - [j12]Umashanthi Pavalanathan, Xiaochuang Han, Jacob Eisenstein:
Mind Your POV: Convergence of Articles and Editors Towards Wikipedia's Neutrality Norm. Proc. ACM Hum. Comput. Interact. 2(CSCW): 137:1-137:23 (2018) - [c77]Yuval Pinter
, Jacob Eisenstein:
Predicting Semantic Relations using Global Graph Properties. EMNLP 2018: 1741-1751 - [c76]Ian Stewart, Jacob Eisenstein:
Making "fetch" happen: The influence of social and linguistic context on nonstandard word growth and decline. EMNLP 2018: 4360-4370 - [c75]Ian Stewart, Yuval Pinter
, Jacob Eisenstein:
Si O No, Que Penses? Catalonian Independence and Linguistic Identity on Social Media. NAACL-HLT (2) 2018: 136-141 - [c74]James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein:
Explainable Prediction of Medical Codes from Clinical Text. NAACL-HLT 2018: 1101-1111 - [e3]Yoav Artzi, Jacob Eisenstein:
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Tutorial Abstracts. Association for Computational Linguistics 2018, ISBN 978-1-948087-66-7 [contents] - [i30]James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein:
Explainable Prediction of Medical Codes from Clinical Text. CoRR abs/1802.05695 (2018) - [i29]Sandeep Soni, Shawn Ling Ramirez, Jacob Eisenstein:
Discriminative Modeling of Social Influence for Prediction and Explanation in Event Cascades. CoRR abs/1802.06138 (2018) - [i28]Ian Stewart, Yuval Pinter, Jacob Eisenstein:
Sí o no, què penses? Catalonian Independence and Linguistic Identity on Social Media. CoRR abs/1804.05088 (2018) - [i27]Murali Raghu Babu Balusu, Taha Merghani, Jacob Eisenstein:
Stylistic Variation in Social Media Part-of-Speech Tagging. CoRR abs/1804.07331 (2018) - [i26]Yuval Pinter, Jacob Eisenstein:
Predicting Semantic Relations using Global Graph Properties. CoRR abs/1808.08644 (2018) - [i25]Umashanthi Pavalanathan, Xiaochuang Han, Jacob Eisenstein:
Mind Your POV: Convergence of Articles and Editors Towards Wikipedia's Neutrality Norm. CoRR abs/1809.06951 (2018) - 2017
- [j11]Dong Nguyen
, Jacob Eisenstein:
A Kernel Independence Test for Geographical Language Variation. Comput. Linguistics 43(3): 567-592 (2017) - [j10]Eshwar Chandrasekharan
, Umashanthi Pavalanathan, Anirudh Srinivasan, Adam Glynn, Jacob Eisenstein, Eric Gilbert:
You Can't Stay Here: The Efficacy of Reddit's 2015 Ban Examined Through Hate Speech. Proc. ACM Hum. Comput. Interact. 1(CSCW): 31:1-31:22 (2017) - [j9]Yi Yang, Jacob Eisenstein:
Overcoming Language Variation in Sentiment Analysis with Social Attention. Trans. Assoc. Comput. Linguistics 5: 295-307 (2017) - [c73]Jacob Eisenstein:
Unsupervised Learning for Lexicon-Based Classification. AAAI 2017: 3188-3194 - [c72]Umashanthi Pavalanathan, Jim Fitzpatrick, Scott F. Kiesling
, Jacob Eisenstein:
A Multidimensional Lexicon for Interpersonal Stancetaking. ACL (1) 2017: 884-895 - [c71]Ian Stewart, Stevie Chancellor
, Munmun De Choudhury, Jacob Eisenstein:
#Anorexia, #anarexia, #anarexyia: Characterizing online community practices with orthographic variation. IEEE BigData 2017: 4353-4361 - [c70]Yuval Pinter
, Robert Guthrie, Jacob Eisenstein:
Mimicking Word Embeddings using Subword RNNs. EMNLP 2017: 102-112 - [i24]Yuval Pinter, Robert Guthrie, Jacob Eisenstein:
Mimicking Word Embeddings using Subword RNNs. CoRR abs/1707.06961 (2017) - [i23]Ian Stewart, Jacob Eisenstein:
Making "fetch" happen: The influence of social and linguistic context on the success of lexical innovations. CoRR abs/1709.00345 (2017) - [i22]Ian Stewart, Stevie Chancellor, Munmun De Choudhury, Jacob Eisenstein:
#anorexia, #anarexia, #anarexyia: Characterizing Online Community Practices with Orthographic Variation. CoRR abs/1712.01411 (2017) - 2016
- [j8]Umashanthi Pavalanathan, Jacob Eisenstein:
More emojis, less : ) The competition for paralinguistic function in microblog writing. First Monday 21(11) (2016) - [c69]Naman Goyal, Jacob Eisenstein:
A Joint Model of Rhetorical Discourse Structure and Summarization. SPNLP@EMNLP 2016: 25-34 - [c68]Parminder Bhatia, Robert Guthrie, Jacob Eisenstein:
Morphological Priors for Probabilistic Neural Word Embeddings. EMNLP 2016: 490-500 - [c67]Yi Yang, Ming-Wei Chang, Jacob Eisenstein:
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. EMNLP 2016: 1452-1461 - [c66]Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein:
A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models. HLT-NAACL 2016: 332-342 - [c65]Yi Yang, Jacob Eisenstein:
Part-of-Speech Tagging for Historical English. HLT-NAACL 2016: 1318-1328 - [c64]Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos
, Hanna M. Wallach, Fernando Diaz, Jacob Eisenstein:
The Social Dynamics of Language Change in Online Networks. SocInfo (1) 2016: 41-57 - [e2]David Bamman, A. Seza Dogruöz, Jacob Eisenstein, Dirk Hovy, David Jurgens, Brendan O'Connor, Alice Oh, Oren Tsur, Svitlana Volkova:
Proceedings of the First Workshop on NLP and Computational Social Science, NLP+CSS@EMNLP 2016, Austin, TX, USA, November 5, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-26-5 [contents] - [i21]Vinodh Krishnan Elangovan, Jacob Eisenstein:
Nonparametric Bayesian Storyline Detection from Microtexts. CoRR abs/1601.04580 (2016) - [i20]Dong Nguyen, Jacob Eisenstein:
A Kernel Independence Test for Geographical Language Variation. CoRR abs/1601.06579 (2016) - [i19]Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein:
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models. CoRR abs/1603.01913 (2016) - [i18]Yi Yang, Jacob Eisenstein:
Part-of-Speech Tagging for Historical English. CoRR abs/1603.03144 (2016) - [i17]Akanksha, Jacob Eisenstein:
Shallow Discourse Parsing Using Distributed Argument Representations and Bayesian Optimization. CoRR abs/1606.04503 (2016) - [i16]Parminder Bhatia, Robert Guthrie, Jacob Eisenstein:
Morphological Priors for Probabilistic Neural Word Embeddings. CoRR abs/1608.01056 (2016) - [i15]Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna M. Wallach, Fernando Diaz, Jacob Eisenstein:
The Social Dynamics of Language Change in Online Networks. CoRR abs/1609.02075 (2016) - [i14]Yi Yang, Ming-Wei Chang, Jacob Eisenstein:
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. CoRR abs/1609.08084 (2016) - [i13]Jacob Eisenstein:
Unsupervised Learning for Lexicon-Based Classification. CoRR abs/1611.06933 (2016) - 2015
- [j7]Caglar Tirkaz, Jacob Eisenstein, T. Metin Sezgin
, Berrin A. Yanikoglu
:
Identifying visual attributes for object recognition from text and taxonomy. Comput. Vis. Image Underst. 137: 12-23 (2015) - [j6]Lauren F. Klein, Jacob Eisenstein, Iris Sun:
Exploratory Thematic Analysis for Digitized Archival Collections. Digit. Scholarsh. Humanit. 30(Suppl-1): i130-i141 (2015) - [j5]Yangfeng Ji, Jacob Eisenstein:
One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations. Trans. Assoc. Comput. Linguistics 3: 329-344 (2015) - [c63]Umashanthi Pavalanathan, Jacob Eisenstein:
Confounds and Consequences in Geotagged Twitter Data. EMNLP 2015: 2138-2148 - [c62]Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein:
Better Document-level Sentiment Analysis from RST Discourse Parsing. EMNLP 2015: 2212-2218 - [c61]Yangfeng Ji, Gongbo Zhang, Jacob Eisenstein:
Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations. EMNLP 2015: 2219-2224 - [c60]Jose Manuel Delgado Valdes, Jacob Eisenstein, Munmun De Choudhury:
Psychological Effects of Urban Crime Gleaned from Social Media. ICWSM 2015: 598-601 - [c59]Yi Yang, Jacob Eisenstein:
Unsupervised Multi-Domain Adaptation with Feature Embeddings. HLT-NAACL 2015: 672-682 - [c58]Vinodh Krishnan Elangovan, Jacob Eisenstein:
"You're Mr. Lebowski, I'm the Dude": Inducing Address Term Formality in Signed Social Networks. HLT-NAACL 2015: 1616-1626 - [c57]Yangfeng Ji, Jacob Eisenstein:
Entity-Augmented Distributional Semantics for Discourse Relations. ICLR (Workshop) 2015 - [c56]