TAUR Lab at UT Austin

About Us

TAUR Lab logo The TAUR Lab (Text Analysis, Understanding, and Reasoning) is a research group at New York University, led by Greg Durrett. Our research is primarily in the field of Natural Language Processing (NLP) and machine learning. LLMs still fall short in challenging real-world applications such as medical information processing, scientific discovery, and legal reasoning. We develop methods for training these models to have new capabilities, augmenting them to be more reliable, and assessing their outputs to identify strengths and weaknesses of the state of the art. Check out our publications page for more detail.

For more information about who we are and for information about joining the lab, check out the people page.

See the CILVR group website for information about the broader ML community at NYU.

Publications

2025

(preprint) PropMEND: Hypernetworks for Knowledge Propagation in LLMs Paper Bib
Zeyu Leo Liu, Greg Durrett, and Eunsol Choi. arXiv 2025.

(preprint) Learning Composable Chains-of-Thought Paper Bib
Fangcong Yin, Zeyu Leo Liu, Liu Leqi, Xi Ye, and Greg Durrett. arXiv 2025.

(preprint) ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models Paper Code Bib
Liyan Tang, Grace Kim, Xinyu Zhao, Thom Lake, Wenxuan Ding, Fangcong Yin, Prasann Singhal, Manya Wadhwa, Zeyu Leo Liu, Zayne Sprague, Ramya Namuduri, Bodun Hu, Juan Diego Rodriguez, Puyuan Peng, and Greg Durrett. arXiv 2025.

(preprint) AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy Paper Bib
Sebastian Antony Joseph, Syed Murtaza Husain, Stella S. R. Offner, Stéphanie Juneau, Paul Torrey, Adam S. Bolton, Juan P. Farias, Niall Gaffney, Greg Durrett, and Junyi Jessy Li. arXiv 2025.

EvalAgent: Discovering Implicit Evaluation Criteria from the Web Paper Code Bib
Manya Wadhwa, Zayne Sprague, Chaitanya Malaviya, Philippe Laban, Junyi Jessy Li, and Greg Durrett. Proceedings of COLM 2025.

RankAlign: A Ranking View of the Generator-Validator Gap in Large Language Models Paper Code Bib
Juan Diego Rodriguez, Wenxuan Ding, Katrin Erk, and Greg Durrett. Proceedings of COLM 2025.

CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation Paper Code Bib
Anirudh Khatry, Robert Zhang, Jia Pan, Ziteng Wang, Qiaochu Chen, Greg Durrett, and Isil Dillig. Proceedings of COLM 2025.

QUDSim: Quantifying Discourse Similarities in LLM-Generated Text Paper Code Bib
Ramya Namuduri, Yating Wu, Anshun Asher Zheng, Manya Wadhwa, Greg Durrett, and Junyi Jessy Li. Proceedings of COLM 2025.

LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation Paper Code Bib
Xi Ye, Fangcong Yin, Yinghui He, Joie Zhang, Howard Yen, Tianyu Gao, Greg Durrett, and Danqi Chen. Proceedings of COLM 2025.

Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding Paper Bib
Melanie Subbiah, Akankshya Mishra, Grace Kim, Liyan Tang, Greg Durrett, and Kathleen McKeown. Proceedings of EMNLP 2025.

Understanding Synthetic Context Extension via Retrieval Heads Paper Bib
Xinyu Zhao, Fangcong Yin, and Greg Durrett. Proceedings of ICML 2025.

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning Paper Bib
Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, and Greg Durrett. Proceedings of ICLR 2025.

From Distributional to Overton Pluralism: Investigating Large Language Model Alignment Paper Bib
Thom Lake, Eunsol Choi, and Greg Durrett. Proceedings of NAACL 2025.

(preprint) ProofWala: Multilingual Proof Data Synthesis and Theorem-Proving Paper Code Bib
Amitayush Thakur, George Tsoukalas, Greg Durrett, and Swarat Chaudhuri. arXiv 2025.

2024

LoFiT: Localized Fine-tuning on LLM Representations Paper Code Bib
Fangcong Yin, Xi Ye, and Greg Durrett. Proceedings of NeurIPS 2024.

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents Paper Code Bib
Liyan Tang, Philippe Laban, and Greg Durrett. Proceedings of EMNLP 2024.

SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation Paper Code Bib
Abhishek Divekar and Greg Durrett. Proceedings of EMNLP 2024.

Which questions should I answer? Salience Prediction of Inquisitive Questions Paper Bib
Yating Wu, Ritika Mangla, Alexandros Dimakis, Greg Durrett, and Junyi Jessy Li. Proceedings of EMNLP (outstanding paper) 2024.

Learning to Refine with Fine-Grained Natural Language Feedback Paper Code Bib
Manya Wadhwa, Xinyu Zhao, Junyi Jessy Li, and Greg Durrett. Findings of EMNLP 2024.

Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification Paper Bib
Anisha Gunjal and Greg Durrett. Findings of EMNLP 2024.

(workshop) Contrastive Learning to Improve Retrieval for Real-world Fact Checking Paper Bib
Aniruddh Sriram, Fangyuan Xu, Eunsol Choi, and Greg Durrett. Workshop on Fact Extraction and Verification (FEVER) at EMNLP (oral) 2024.

D2PO: Discriminator-Guided DPO with Response Evaluation Models Paper Bib
Prasann Singhal, Nathan Lambert, Scott Niekum, Tanya Goyal, and Greg Durrett. Proceedings of COLM 2024.

A Long Way To Go: Investigating Length Correlations in RLHF Paper Bib
Prasann Singhal, Tanya Goyal, Jiacheng Xu, and Greg Durrett. Proceedings of COLM (oral spotlight) 2024.

Using Natural Language Explanations to Rescale Human Judgments Paper Code Bib
Manya Wadhwa, Jifan Chen, Junyi Jessy Li, and Greg Durrett. Proceedings of COLM 2024.

(preprint) CodeUpdateArena: Benchmarking Knowledge Editing on API Updates Paper Code Bib
Zeyu Leo Liu, Shrey Pandit, Xi Ye, Eunsol Choi, and Greg Durrett. arXiv 2024.

X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs Paper Code Bib
Juan Diego Rodriguez, Katrin Erk, and Greg Durrett. Proceedings of NAACL 2024.

Complex Claim Verification with Evidence Retrieved in the Wild Paper Code Bib
Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, and Eunsol Choi. Proceedings of NAACL 2024.

MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning Paper Code Bib
Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, and Greg Durrett. Proceedings of ICLR (spotlight) 2024.

Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing Paper Bib
Jiayi Wei, Greg Durrett, and Isil Dillig. Proceedings of ICLR (spotlight) 2024.

2023

SatLM: Satisfiability-Aided Language Models Using Declarative Prompting Paper Code Bib
Xi Ye, Qiaochu Chen, Isil Dillig, and Greg Durrett. Proceedings of NeurIPS 2023.

Propagating Knowledge Updates to LMs Through Distillation Paper Code Bib
Shankar Padmanabhan, Yasumasa Onoe, Michael J.Q. Zhang, Greg Durrett, and Eunsol Choi. Proceedings of NeurIPS 2023.

WICE: Real-World Entailment for Claims in Wikipedia Paper Code Bib
Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, and Greg Durrett. Proceedings of EMNLP 2023.

Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting Paper Bib
Xi Ye and Greg Durrett. Proceedings of EMNLP 2023.

QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing Paper Bib
Yating Wu, Ritika Mangla, Greg Durrett, and Junyi Jessy Li. Proceedings of EMNLP 2023.

(preprint) Drafting Event Schemas using Language Models Paper Bib
Anisha Gunjal and Greg Durrett. arXiv 2023.

Data Extraction via Semantic Regular Expression Synthesis Paper Bib
Qiaochu Chen, Arko Banerjee, Çağatay Demiralp, Greg Durrett, and Isil Dillig. Object-oriented Programming, Systems, Languages, and Applications (OOPSLA) 2023.

(workshop) Deductive Additivity for Planning of Natural Language Proofs Paper Code Bib
Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, and Greg Durrett. Proceedings of the First Workshop on Natural Language Reasoning and Structured Explanations 2023.

Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge Paper Code Bib
Yasumasa Onoe, Michael J.Q. Zhang, Shankar Padmanabhan, Greg Durrett, and Eunsol Choi. Proceedings of ACL 2023.

EEL: Efficiently Encoding Lattices for Reranking Paper Bib
Prasann Singhal, Jiacheng Xu, Xi Ye, and Greg Durrett. Proceedings of ACL 2023.

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors Paper Bib
Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryściński, Justin F. Rousseau, and Greg Durrett. Proceedings of ACL 2023.

Complementary Explanations for Effective In-Context Learning Paper Bib
Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Ves Stoyanov, Greg Durrett, and Ramakanth Pasunuru. Findings of ACL 2023.

Prompted Opinion Summarization with GPT-3.5 Paper Bib
Adithya Bhaskar, Alexander R. Fabbri, and Greg Durrett. Findings of ACL 2023.

Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses Paper Bib
Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, and Justin F. Rousseau. Findings of ACL 2023.

Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion Paper Bib
Wei-Jen Ko, Yating Wu, Cutter Dalton, Dananjay Srinivas, Greg Durrett, and Junyi Jessy Li. Findings of ACL 2023.

Shortcomings of Question Answering Based Factuality Frameworks for Error Localization Paper Bib
Ryo Kamoi, Tanya Goyal, and Greg Durrett. Proceedings of EACL 2023.

Assessing Out-of-Domain Language Model Performance from Few Examples Paper Bib
Prasann Singhal, Jarad Forristal, Xi Ye, and Greg Durrett. Proceedings of EACL 2023.

TypeT5: Seq2seq Type Inference using Static Analysis Paper Bib
Jiayi Wei, Greg Durrett, and Isil Dillig. Proceedings of ICLR 2023.

2022

(preprint) News Summarization and Evaluation in the Era of GPT-3 Paper Code Bib
Tanya Goyal, Junyi Jessy Li, and Greg Durrett. arXiv 2022.

Natural Language Deduction with Incomplete Information Paper Code Bib
Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, and Greg Durrett. Proceedings of EMNLP 2022.

SNaC: Coherence Error Detection for Narrative Summarization Paper Bib
Tanya Goyal, Junyi Jessy Li, and Greg Durrett. Proceedings of EMNLP 2022.

Generating Literal and Implied Subquestions to Fact-check Complex Claims Paper Code Bib
Jifan Chen, Aniruddh Sriram, Eunsol Choi, and Greg Durrett. Proceedings of EMNLP 2022.

Natural Language Deduction through Search over Statement Compositions Paper Bib
Kaj Bostrom, Zayne Sprague, Swarat Chaudhuri, and Greg Durrett. Findings of EMNLP 2022.

Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections Paper Bib
Wei-Jen Ko, Cutter Dalton, Mark Simmons, Eliza Fisher, Greg Durrett, and Junyi Jessy Li. Proceedings of EMNLP 2022.

The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning Paper Bib
Xi Ye and Greg Durrett. Proceedings of NeurIPS 2022.

Massive-scale Decoding for Text Generation using Lattices Paper Code Bib
Jiacheng Xu, Siddhartha Reddy Jonnalagadda, and Greg Durrett. Proceedings of NAACL 2022.

Entity Cloze By Date: What LMs Know About Unseen Entities Paper Bib
Yasumasa Onoe, Michael J.Q. Zhang, Eunsol Choi, and Greg Durrett. Findings of NAACL (short) 2022.

Type-Directed Synthesis of Visualizations from Natural Language Queries Paper Bib
Qiaochu Chen, Shankara Pailoor, Celeste Barnaby, Abby Criswell, Chenglong Wang, Greg Durrett, and Isil Dillig. Object-oriented Programming, Systems, Languages, and Applications (OOPSLA) 2022.

Automated Transpilation of Imperative to Functional Code using Neural-Guided Program Synthesis Paper Bib
Benjamin Mariano, Yanju Chen, Yu Feng, Greg Durrett, and Isil Dillig. Object-oriented Programming, Systems, Languages, and Applications (OOPSLA) 2022.

Can Explanations Be Useful for Calibrating Black Box Models? Paper Bib
Xi Ye and Greg Durrett. Proceedings of ACL 2022.

ASPECTNEWS: Aspect-Oriented Summarization of News Documents Paper Bib
Ojas Ahuja, Jiacheng Xu, Akshay Gupta, Kevin Horecka, and Greg Durrett. Proceedings of ACL 2022.

Training Dynamics for Text Summarization Models Paper Bib
Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, and Greg Durrett. Findings of ACL 2022.

2021

(preprint) Cross-Lingual Fine-Grained Entity Typing Paper Bib
Nila Selvaraj, Yasumasa Onoe, and Greg Durrett. arXiv 2021.

(preprint) Making Document-Level Information Extraction Right for the Right Reasons Paper Bib
Liyan Tang, Dhruv Rajan, Suyash Mohan, Abhijeet Pradhan, R. Nick Bryan, and Greg Durrett. arXiv 2021.

CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge Paper Code Bib
Yasumasa Onoe, Michael J.Q. Zhang, Eunsol Choi, and Greg Durrett. Proceedings of NeurIPS (Datasets and Benchmarks) 2021.

Flexible Generation of Natural Language Deductions Paper Bib
Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, and Greg Durrett. Proceedings of EMNLP 2021.

Connecting Attributions and QA Model Behavior on Realistic Counterfactuals Paper Bib
Xi Ye, Rohan Nair, and Greg Durrett. Proceedings of EMNLP 2021.

Can NLI Models Verify QA Systems' Predictions? Paper Bib
Jifan Chen, Eunsol Choi, and Greg Durrett. Findings of EMNLP 2021.

Optimal Neural Program Synthesis from Multimodal Specifications Paper Bib
Xi Ye, Qiaochu Chen, Isil Dillig, and Greg Durrett. Findings of EMNLP 2021.

Modeling Fine-Grained Entity Types with Box Embeddings Paper Bib
Yasumasa Onoe, Michael Boratko, Andrew McCallum, and Greg Durrett. Proceedings of ACL 2021.

Conditional Generation of Temporally-ordered Event Sequences Paper Bib
Shih-ting Lin, Nathanael Chambers, and Greg Durrett. Proceedings of ACL 2021.

Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution Paper Bib
Jiacheng Xu and Greg Durrett. Proceedings of ACL 2021.

(workshop) Contemporary NLP Modeling in Six Comprehensive Programming Assignments Paper Bib
Greg Durrett, Jifan Chen, Shrey Desai, Tanya Goyal, Lucas Kabela, Yasumasa Onoe, and Jiacheng Xu. Proceedings of the Fifth Workshop on Teaching NLP 2021.

Robust Question Answering Through Sub-part Alignment Paper Bib
Jifan Chen and Greg Durrett. Proceedings of NAACL 2021.

Annotating and Modeling Fine-grained Factuality in Summarization Paper Bib
Tanya Goyal and Greg Durrett. Proceedings of NAACL 2021.

Did they answer? Subjective acts and intents in conversational discourse Paper Bib
Elisa Ferracane, Greg Durrett, Junyi Jessy Li, and Katrin Erk. Proceedings of NAACL 2021.

Web Question Answering with Neurosymbolic Program Synthesis Paper Bib
Qiaochu Chen, Aaron Lamoreaux, Xinyu Wang, Greg Durrett, Osbert Bastani, and Isil Dillig. Proceedings of PLDI 2021.

(workshop) Effective Distant Supervision for Temporal Relation Extraction Paper Code Bib
Xinyu Zhao, Shih-ting Lin, and Greg Durrett. Proceedings of Adapt-NLP: The Second Workshop on Domain Adaptation for NLP (at EACL) 2021.

2020

Compressive Summarization with Plausibility and Salience Modeling Paper Code Bib
Shrey Desai, Jiacheng Xu, and Greg Durrett. Proceedings of EMNLP 2020.

Evaluating Factuality in Generation with Dependency-level Entailment Paper Code Bib
Tanya Goyal and Greg Durrett. Findings of EMNLP 2020.

Interpretable Entity Representations through Large-Scale Typing Paper Code Bib
Yasumasa Onoe and Greg Durrett. Findings of EMNLP 2020.

Understanding Neural Abstractive Summarization Models via Uncertainty Paper Code Bib
Jiacheng Xu, Shrey Desai, and Greg Durrett. Proceedings of EMNLP (short) 2020.

Calibration of Pre-trained Transformers Paper Code Bib
Shrey Desai and Greg Durrett. Proceedings of EMNLP (short) 2020.

Byte Pair Encoding is Suboptimal for Language Model Pretraining Paper Bib
Kaj Bostrom and Greg Durrett. Findings of EMNLP (short) 2020.

Inquisitive Question Generation for High Level Text Comprehension Paper Code Bib
Wei-Jen Ko, Te-Yuan Chen, Yiyan Huang, Greg Durrett, and Junyi Jessy Li. Proceedings of EMNLP 2020.

Sketch-Driven Regular Expression Generation from Natural Language and Examples Paper Code Bib
Xi Ye, Qiaochu Chen, Xinyu Wang, Isil Dillig, and Greg Durrett. Transactions of the ACL 2020.

Neural Syntactic Preordering for Controlled Paraphrase Generation Paper Code Bib
Tanya Goyal and Greg Durrett. Proceedings of ACL 2020.

Benchmarking Multimodal Regex Synthesis with Complex Structures Paper Code Bib
Xi Ye, Qiaochu Chen, Isil Dillig, and Greg Durrett. Proceedings of ACL 2020.

Multi-Modal Synthesis of Regular Expressions Paper Bib
Qiaochu Chen, Xinyu Wang, Xi Ye, Greg Durrett, and Isil Dillig. Proceedings of PLDI 2020.

LambdaNet: Probabilistic Type Inference using Graph Neural Networks Paper Bib
Jiayi Wei, Maruth Goyal, Greg Durrett, and Isil Dillig. Proceedings of ICLR 2020.

Fine-Grained Entity Typing for Domain Independent Entity Linking Paper Bib
Yasumasa Onoe and Greg Durrett. Proceedings of AAAI 2020.

2019

(preprint) Multi-hop Question Answering via Reasoning Chains Paper Bib
Jifan Chen, Shih-Ting Lin, and Greg Durrett. arXiv 2019.

Neural Extractive Text Summarization with Syntactic Compression Paper Bib
Jiacheng Xu and Greg Durrett. Proceedings of EMNLP 2019.

Effective Use of Transformer Networks for Entity Tracking Paper Bib
Aditya Gupta and Greg Durrett. Proceedings of EMNLP 2019.

Query-focused Scenario Construction Paper Data Bib
Su Wang, Greg Durrett, and Katrin Erk. Proceedings of EMNLP 2019.

Embedding time expressions for deep temporal ordering models Paper Bib
Tanya Goyal and Greg Durrett. Proceedings of ACL (short) 2019.

Evaluating Discourse in Structured Text Representations Paper Bib
Elisa Ferracane, Greg Durrett, Junyi Jessy Li, and Katrin Erk. Proceedings of ACL (short) 2019.

Learning to Denoise Distantly-Labeled Data for Entity Typing Paper Code Bib
Yasumasa Onoe and Greg Durrett. Proceedings of NAACL 2019.

Understanding dataset design choices for multi-hop reasoning Paper Bib
Jifan Chen and Greg Durrett. Proceedings of NAACL (short) 2019.

Linguistically-Informed Specificity and Semantic Plausibility for Dialog Generation Paper Bib
Wei-Jen Ko, Greg Durrett, and Junyi Jessy Li. Proceedings of NAACL 2019.

(workshop) Tracking Discrete and Continuous Entity State for Process Understanding Paper Bib
Aditya Gupta and Greg Durrett. Proceedings of 2019 Workshop on Structured Prediction for NLP (oral) (at NAACL) 2019.

Domain Agnostic Real-Valued Specificity Prediction Paper Code Bib
Wei-Jen Ko, Greg Durrett, and Junyi Jessy Li. Proceedings of AAAI 2019.

2018

Spherical Latent Spaces for Stable Variational Autoencoders Paper Bib
Jiacheng Xu and Greg Durrett. Proceedings of EMNLP 2018.

Effective Use of Context in Noisy Entity Linking Paper Bib
David Mueller and Greg Durrett. Proceedings of EMNLP (short) 2018.

Picking Apart Story Salads Paper Bib
Su Wang, Eric Holgate, Greg Durrett, and Katrin Erk. Proceedings of EMNLP 2018.

Modeling Semantic Plausibility by Injecting World Knowledge Paper Bib
Su Wang, Greg Durrett, and Katrin Erk. Proceedings of NAACL (short) 2018.

2017

Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation Paper Code Bib
Greg Durrett, Jonathan Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, and Vern Paxson. Proceedings of EMNLP 2017.

Tools for Automated Analysis of Cybercriminal Markets Paper Code Bib
Rebecca Portnoff, Sadia Afroz, Greg Durrett, Jonathan Kummerfeld, Taylor Berg-Kirkpatrick, Damon McCoy, Kirill Levchenko, and Vern Paxson. Proceedings of WWW 2017.

2016

Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints Paper Code Bib
Greg Durrett, Taylor Berg-Kirkpatrick, and Dan Klein. Proceedings of ACL 2016.

Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks Paper Bib
Matthew Francis-Landau, Greg Durrett, and Dan Klein. Proceedings of NAACL (short) 2016.

2015

Neural CRF Parsing Paper Code Bib
Greg Durrett and Dan Klein. Proceedings of ACL 2015.

Disfluency Detection with a Semi-Markov Model and Prosodic Features Paper Bib
James Ferguson, Greg Durrett, and Dan Klein. Proceedings of NAACL (short) 2015.

2014

A Joint Model for Entity Analysis: Coreference, Typing, and Linking Paper Code Bib
Greg Durrett and Dan Klein. Transactions of the ACL 2014.

Less Grammar, More Features Paper Code Bib
David Hall, Greg Durrett, and Dan Klein. Proceedings of ACL 2014.

2013

Easy Victories and Uphill Battles in Coreference Resolution Paper Code Bib
Greg Durrett and Dan Klein. Proceedings of EMNLP 2013.

Decentralized Entity-Level Modeling for Coreference Resolution Paper Bib
Greg Durrett, David Hall, and Dan Klein. Proceedings of ACL 2013.

Unsupervised Transcription of Historical Documents Paper Code Bib
Taylor Berg-Kirkpatrick, Greg Durrett, and Dan Klein. Proceedings of ACL 2013.

Supervised Learning of Complete Morphological Paradigms Paper Code Bib
Greg Durrett and John DeNero. Proceedings of NAACL 2013.

2012

Syntactic Transfer Using a Bilingual Lexicon Paper Bib
Greg Durrett, Adam Pauls, and Dan Klein. Proceedings of EMNLP 2012.

2011

An Empirical Investigation of Discounting in Cross-Domain Language Models Paper Bib
Greg Durrett and Dan Klein. Proceedings of ACL (short) 2011.