| 2026 | ACL | Do Image-Text Metrics Respect Semantic Invariances? | Amit Agarwal, Hitesh Laxmichand Patel, Meizhu Liu, Jyotika Singh, Karan Dua, Hansa Meghwani, Matthew Rowe, Michael Avendi, Yassi Abbasi, Tao Sheng, Sujith Ravi, Dan Roth |
| 2026 | ACL | REaR : Retrieve, Expand and Refine for Effective Multitable Retrieval. | Rishita Agarwal, Himanshu Singhal, Peter Baile Chen, Manan Roy Choudhury, Dan Roth, Vivek Gupta |
| 2026 | ACL | JTPRO: A Joint Tool-Prompt Reflective Optimization Framework for Language Agents. | Sandip Ghoshal, Anshul Mittal, Jyotika Singh, Miguel Ballesteros, Weiyi Sun, Fang Tu, Shailender Singh, Yassine Benajiba, Fahad Shah, Sujeeth Bharadwaj, Sujith Ravi, Dan Roth |
| 2026 | ACL | ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware Filtering. | Marianne Menglin Liu, Daniel Garcia, Fjona Parllaku, Vikas Upadhyay, Fahad Shah, Dan Roth |
| 2026 | ACL | PAR²-RAG: Planned Active Retrieval and Reasoning for Multi-Hop Question Answering. | Xingyu Li, Rongguang Wang, Yuying Wang, Mengqing Guo, Chenyang Li, Tao Sheng, Sujith Ravi, Dan Roth |
| 2026 | ACL | Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say "I Don't Know". | Dhruv Madhwal, Lyuxin David Zhang, Dan Roth, Tomer Wolfson, Vivek Gupta |
| 2026 | ACL | Toward Robust Evaluation for Multilingual Grammatical Error Correction: Can Large Language Models Replace Human References? | Alla Rozovskaya, Dan Roth |
| 2026 | ACL | SPENCE: A Syntactic Probe for Detecting Contamination in NL2SQL Benchmarks. | Mohammadtaher Safarzadeh, Hitesh Laxmichand Patel, Afshin Oroojlooy, Graham Horwood, Dan Roth |
| 2026 | ACL | MT-OSC: Path for LLMs that Get Lost in Multi-Turn Conversation. | Jyotika Singh, Fang Tu, Miguel Ballesteros, Weiyi Sun, Sandip Ghoshal, Michelle Yuan, Yassine Benajiba, Sujith Ravi, Dan Roth |
| 2026 | ACL | LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document Understanding. | Zhivar Sourati, Zheng Wang, Marianne Menglin Liu, Yazhe Hu, Mengqing Guo, Sujeeth Bharadwaj, Kyu J. Han, Tao Sheng, Sujith Ravi, Morteza Dehghani, Dan Roth |
| 2026 | ACL | Budget-Aware Anytime Reasoning with LLM-Synthesized Preference Data. | Xuanming Zhang, Shwan Ashrafi, Aziza Mirsaidova, Amir Rezaeian, Miguel Ballesteros, Lydia B. Chilton, Zhou Yu, Dan Roth |
| 2026 | ACL | When Vision-Language Models Judge Without Seeing: Exposing Informativeness Bias. | Xiaohan Zou, Roshan Sridhar, Mohammadtaher Safarzadeh, Dan Roth |
| 2026 | EACL | Program-of-Thought Reveals LLM Abstraction Ceilings. | Mike Zhou, Fenil Denish Bardoliya, Vivek Gupta, Dan Roth |
| 2025 | ACL | Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method. | Peter Baile Chen, Yi Zhang, Mike Cafarella, Dan Roth |
| 2025 | ACL | DeAL: Decoding-time Alignment for Large Language Models. | James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi-An Lai, Arshit Gupta, Nikolaos Pappas, Saab Mansour, Katrin Kirchhoff, Dan Roth |
| 2025 | ACL | LLM-Symbolic Integration for Robust Temporal Tabular Reasoning. | Atharv Kulkarni, Kushagra Dixit, Vivek Srikumar, Dan Roth, Vivek Gupta |
| 2025 | ACL | Talking Point based Ideological Discourse Analysis in News Events. | Nishanth Sridhar Nakshatri, Nikhil Mehta, Siyi Liu, Sihao Chen, Daniel Hopkins, Dan Roth, Dan Goldwasser |
| 2025 | ACL | PRAISE: Enhancing Product Descriptions with LLM-Driven Structured Insights. | Adnan Qidwai, Srija Mukhopadhyay, Prerana Khatiwada, Dan Roth, Vivek Gupta |
| 2025 | EMNLP | Aligning LLMs for Multilingual Consistency in Enterprise Applications. | Amit Agarwal, Hansa Meghwani, Hitesh Laxmichand Patel, Tao Sheng, Sujith Ravi, Dan Roth |
| 2025 | EMNLP | RCI: A Score for Evaluating Global and Local Reasoning in Multimodal Benchmarks. | Amit Agarwal, Hitesh Laxmichand Patel, Srikant Panda, Hansa Meghwani, Jyotika Singh, Karan Dua, Paul Li, Tao Sheng, Sujith Ravi, Dan Roth |
| 2025 | EMNLP | Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty. | Yu Feng, Phu Mon Htut, Zheng Qi, Wei Xiao, Manuel Mager, Nikolaos Pappas, Kishaloy Halder, Yang Li, Yassine Benajiba, Dan Roth |
| 2025 | EMNLP | Weaver: Interweaving SQL and LLM for Table Reasoning. | Rohit Khoja, Devanshu Gupta, Yanjie Fu, Dan Roth, Vivek Gupta |
| 2025 | EMNLP | Conflicts in Texts: Data, Implications and Challenges. | Siyi Liu, Dan Roth |
| 2025 | EMNLP | AutoCT: Automating Interpretable Clinical Trial Prediction with LLM Agents. | Fengze Liu, Haoyu Wang, Joonhyuk Cho, Dan Roth, Andrew Lo |
| 2025 | EMNLP | PCRI: Measuring Context Robustness in Multimodal Models for Enterprise Applications. | Hitesh Laxmichand Patel, Amit Agarwal, Srikant Panda, Hansa Meghwani, Karan Dua, Paul Li, Tao Sheng, Sujith Ravi, Dan Roth |
| 2025 | EMNLP | Evaluating NL2SQL via SQL2NL. | Mohammadtaher Safarzadeh, Afshin Oroojlooy, Dan Roth |
| 2025 | EMNLP | LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval. | Yanzhen Shen, Sihao Chen, Xueqiang Xu, Yunyi Zhang, Chaitanya Malaviya, Dan Roth |
| 2025 | EMNLP | Can LLMs Narrate Tabular Data? An Evaluation Framework for Natural Language Representations of Text-to-SQL System Outputs. | Jyotika Singh, Weiyi Sun, Amit Agarwal, Viji Krishnamurthy, Yassine Benajiba, Sujith Ravi, Dan Roth |
| 2025 | EMNLP | MrGuard: A Multilingual Reasoning Guardrail for Universal LLM Safety. | Yahan Yang, Soham Dan, Shuo Li, Dan Roth, Insup Lee |
| 2025 | ICLR | BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models. | Yu Feng, Ben Zhou, Weidong Lin, Dan Roth |
| 2025 | ICLR | Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge. | Aparna Elangovan, Lei Xu, Jongwoo Ko, Mahsa Elyasi, Ling Liu, Sravan Babu Bodapati, Dan Roth |
| 2025 | ICLR | MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. | Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2025 | ICML | ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding. | Xingyu Fu, Minqian Liu, Zhengyuan Yang, John Corring, Yijuan Lu, Jianwei Yang, Dan Roth, Dinei A. F. Florncio, Cha Zhang |
| 2025 | ICML | GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation. | Jiashu He, Mingyu Derek Ma, Jinxuan Fan, Dan Roth, Wei Wang, Alejandro Ribeiro |
| 2024 | ACL | Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval. | Peter Baile Chen, Yi Zhang, Dan Roth |
| 2024 | ACL | ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models. | Aparna Elangovan, Ling Liu, Lei Xu, Sravan Babu Bodapati, Dan Roth |
| 2024 | ACL | FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts. | Shubhankar Singh, Purvi Chaurasia, Yerram Varun, Pranshu Pandya, Vatsal Gupta, Vivek Gupta, Dan Roth |
| 2024 | ACL | Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering. | Pragya Srivastava, Manuj Malik, Vivek Gupta, Tanuja Ganu, Dan Roth |
| 2024 | COLING | CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. | Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang |
| 2024 | EACL | Event Semantic Classification in Context. | Haoyu Wang, Hongming Zhang, Kaiqiang Song, Dong Yu, Dan Roth |
| 2024 | ECCV | BLINK: Multimodal Large Language Models Can See but Not Perceive. | Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A. Smith, Wei-Chiu Ma, Ranjay Krishna |
| 2024 | EMNLP | Enhancing LLM Capabilities Beyond Scaling Up. | Wenpeng Yin, Muhao Chen, Rui Zhang, Ben Zhou, Fei Wang, Dan Roth |
| 2024 | EMNLP | Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets. | Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, Dan Roth |
| 2024 | EMNLP | Event Causality Identification with Synthetic Control. | Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson |
| 2024 | EMNLP | Devil's Advocate: Anticipatory Reflection for LLM Agents. | Haoyu Wang, Tao Li, Zhiwei Deng, Dan Roth, Yang Li |
| 2024 | EMNLP | A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners. | Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie Su, Camillo J. Taylor, Dan Roth |
| 2024 | EMNLP | Knowledge-Aware Reasoning over Multimodal Semi-structured Tables. | Suyash Vardhan Mathur, Jainit Sushil Bafna, Kunal Kartik, Harshita Khandelwal, Manish Shrivastava, Vivek Gupta, Mohit Bansal, Dan Roth |
| 2024 | EMNLP | Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness. | Srija Mukhopadhyay, Adnan Qidwai, Aparna Garimella, Pritika Ramu, Vivek Gupta, Dan Roth |
| 2024 | ICLR | Code Representation Learning at Scale. | Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang |
| 2024 | ICML | Fewer Truncations Improve Language Modeling. | Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto |
| 2023 | AAAI | GLUECons: A Generic Benchmark for Learning under Constraints. | Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi |
| 2023 | ACL | ReCode: Robustness Evaluation of Code Generation Models. | Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang |
| 2023 | ACL | Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. | Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth |
| 2023 | ACL | Characterizing and Measuring Linguistic Dataset Drift. | Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth |
| 2023 | ACL | PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition. | Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, Dan Roth, Tal Schuster |
| 2023 | ACL | A Static Evaluation of Code Completion by Large Language Models. | Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang |
| 2023 | ACL | Generic Temporal Reasoning with Differential Analysis and Explanation. | Yu Feng, Ben Zhou, Haoyu Wang, Helen Jin, Dan Roth |
| 2023 | ACL | Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. | Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang |
| 2023 | ACL | RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering. | Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Yang Wang, Zhiheng Huang, Bing Xiang, Dan Roth |
| 2023 | ACL | Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. | Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Yang Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang |
| 2023 | ACL | In and Out-of-Domain Text Adversarial Robustness via Label Smoothing. | Yahan Yang, Soham Dan, Dan Roth, Insup Lee |
| 2023 | EACL | Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection. | Daniel Deutsch, Dan Roth |
| 2023 | EACL | Zero-Shot On-the-Fly Event Schema Induction. | Rotem Dror, Haoyu Wang, Dan Roth |
| 2023 | EACL | Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction. | Haoyu Wang, Hongming Zhang, Yuqian Deng, Jacob R. Gardner, Dan Roth, Muhao Chen |
| 2023 | EACL | Event Linking: Grounding Event Mentions to Wikipedia. | Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth |
| 2023 | EACL | CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm. | Hongming Zhang, Yintong Huo, Yanai Elazar, Yangqiu Song, Yoav Goldberg, Dan Roth |
| 2023 | EMNLP | Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes. | Haoyu Wang, Hongming Zhang, Yueguan Wang, Yuqian Deng, Muhao Chen, Dan Roth |
| 2023 | EMNLP | Taxonomy Expansion for Named Entity Recognition. | Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros |
| 2023 | EMNLP | Comparing Biases and the Impact of Multilingual Training across Multiple Languages. | Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth |
| 2023 | EMNLP | Using LLM for Improving Key Event Discovery: Temporal-Guided News Stream Clustering with Event Summaries. | Nishanth Sridhar Nakshatri, Siyi Liu, Sihao Chen, Dan Roth, Dan Goldwasser, Daniel Hopkins |
| 2023 | EMNLP | Bootstrapping Small & High Performance Language Models with Unmasking-Removal Training Policy. | Yahan Yang, Elior Sulem, Insup Lee, Dan Roth |
| 2023 | ICLR | STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. | Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth |
| 2023 | ICML | On Regularization and Inference with Label Constraints. | Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth |
| 2022 | ACL | Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics. | Daniel Deutsch, Dan Roth |
| 2022 | ACL | There's a Time and Place for Reasoning Beyond the Image. | Xingyu Fu, Ben Zhou, Ishaan Preetam Chandratreya, Carl Vondrick, Dan Roth |
| 2022 | ACL | DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. | Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth |
| 2022 | ACL | Label Semantics for Few Shot Named Entity Recognition. | Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth |
| 2022 | ACL | Label Semantic Aware Pre-training for Few-shot Text Classification. | Aaron Mueller, Jason Krone, Salvatore Romeo, Saab Mansour, Elman Mansimov, Yi Zhang, Dan Roth |
| 2022 | CVPR | Cross-modal Map Learning for Vision and Language Navigation. | Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis |
| 2022 | EMNLP | LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval. | William Bruno, Dan Roth |
| 2022 | EMNLP | On the Limitations of Reference-Free Evaluations of Generated Text. | Daniel Deutsch, Rotem Dror, Dan Roth |
| 2022 | EMNLP | Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts. | Ben Zhou, Kyle Richardson, Xiaodong Yu, Dan Roth |
| 2022 | ICLR | Weighted Training for Cross-Task Learning. | Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, Weijie J. Su |
| 2022 | ICML | ROCK: Causal Inference Principles for Reasoning about Commonsense Causality. | Jiayao Zhang, Hongming Zhang, Weijie J. Su, Dan Roth |
| 2022 | ICML | Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. | Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig |
| 2022 | ICML | Understanding Robust Generalization in Learning Regular Languages. | Soham Dan, Osbert Bastani, Dan Roth |
| 2021 | AAAI | Visual Pivoting for (Unsupervised) Entity Alignment. | Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier |
| 2021 | ACL | Constrained Labeled Data Generation for Low-Resource Named Entity Recognition. | Ruohao Guo, Dan Roth |
| 2021 | ACL | Zero-shot Event Extraction via Transfer Learning: Challenges and Insights. | Qing Lyu, Hongming Zhang, Elior Sulem, Dan Roth |
| 2021 | ACL | Coreference Reasoning in Machine Reading Comprehension. | Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, Iryna Gurevych |
| 2021 | ACL | What is Your Article Based On? Inferring Fine-grained Provenance. | Yi Zhang, Zachary G. Ives, Dan Roth |
| 2021 | ACL | Zero-shot Label-Aware Event Trigger and Argument Classification. | Hongming Zhang, Haoyu Wang, Dan Roth |
| 2021 | CoNLL | Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries. | Daniel Deutsch, Dan Roth |
| 2021 | CoNLL | BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language. | Philip A. Huebner, Elior Sulem, Cynthia Fisher, Dan Roth |
| 2021 | CVPR | Learning Contextual Causality Between Daily Events From Time-Consecutive Images. | Hongming Zhang, Yintong Huo, Xinran Zhao, Yangqiu Song, Dan Roth |
| 2021 | EACL | Cross-lingual Entity Alignment with Incidental Supervision. | Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth |
| 2021 | EACL | How Good (really) are Grammatical Error Correction Systems? | Alla Rozovskaya, Dan Roth |
| 2021 | EMNLP | Few-Shot Novel Concept Learning for Semantic Parsing. | Soham Dan, Osbert Bastani, Dan Roth |
| 2021 | EMNLP | Compositional Data and Task Augmentation for Instruction Following. | Soham Dan, Xinran Han, Dan Roth |
| 2021 | EMNLP | On the Effects of Transformer Size on In- and Out-of-Domain Calibration. | Soham Dan, Dan Roth |
| 2021 | EMNLP | Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema. | Yanai Elazar, Hongming Zhang, Yoav Goldberg, Dan Roth |
| 2021 | EMNLP | Paired Examples as Indirect Supervision in Latent Decision Models. | Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth |
| 2021 | EMNLP | ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations. | Rujun Han, I-Hung Hsu, Jiao Sun, Julia Baylon, Qiang Ning, Dan Roth, Nanyun Peng |
| 2021 | EMNLP | Foreseeing the Benefits of Incidental Supervision. | Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth |
| 2021 | EMNLP | Do We Know What We Don't Know? Studying Unanswerable Questions beyond SQuAD 2.0. | Elior Sulem, Jamaal Hay, Dan Roth |
| 2021 | EMNLP | Learning Constraints and Descriptive Segmentation for Subevent Detection. | Haoyu Wang, Hongming Zhang, Muhao Chen, Dan Roth |
| 2020 | AAAI | Robust Named Entity Recognition with Truecasing Pretraining. | Stephen Mayhew, Nitish Gupta, Dan Roth |
| 2020 | ACL | Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses. | Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal, Dan Roth |
| 2020 | ACL | QuASE: Question-Answer Driven Sentence Encoding. | Hangfeng He, Qiang Ning, Dan Roth |
| 2020 | ACL | Commonsense Reasoning for Natural Language Processing. | Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, Dan Roth |
| 2020 | ACL | "Who said it, and Why?" Provenance for Natural Language Claims. | Yi Zhang, Zachary G. Ives, Dan Roth |
| 2020 | ACL | Temporal Common Sense Acquisition with Minimal Supervision. | Ben Zhou, Qiang Ning, Daniel Khashabi, Dan Roth |
| 2020 | COLING | Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection. | Disha Jindal, Daniel Deutsch, Dan Roth |
| 2020 | COLING | QANom: Question-Answer driven SRL for Nominalizations. | Ayal Klein, Jonathan Mamou, Valentina Pyatkin, Daniela Stepanov, Hangfeng He, Dan Roth, Luke Zettlemoyer, Ido Dagan |
| 2020 | CoNLL | What Are You Trying to Do? Semantic Typing of Event Processes. | Muhao Chen, Hongming Zhang, Haoyu Wang, Dan Roth |
| 2020 | EMNLP | Do Language Embeddings capture Scales? | Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth |
| 2020 | EMNLP | Design Challenges in Low-resource Cross-lingual Entity Linking. | Xingyu Fu, Weijia Shi, Xiaodong Yu, Zian Zhao, Dan Roth |
| 2020 | EMNLP | Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior. | Zi Lin, Jeremiah Z. Liu, Zi Yang, Nan Hua, Dan Roth |
| 2020 | EMNLP | "I'd rather just go to bed": Understanding Indirect Answers. | Annie Louis, Dan Roth, Filip Radlinski |
| 2020 | EMNLP | TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. | Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth |
| 2020 | EMNLP | What do we expect from Multiple-choice QA Systems? | Krunal Shah, Nitish Gupta, Dan Roth |
| 2020 | EMNLP | Joint Constrained Learning for Event-Event Relation Extraction. | Haoyu Wang, Muhao Chen, Hongming Zhang, Dan Roth |
| 2020 | EMNLP | Extending Multilingual BERT to Low-Resource Languages. | Zihan Wang, Karthikeyan K, Stephen Mayhew, Dan Roth |
| 2020 | EMNLP | Analogous Process Structure Induction for Sub-event Sequence Prediction. | Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, Dan Roth |
| 2020 | ICLR | Neural Module Networks for Reasoning over Text. | Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner |
| 2020 | ICLR | Cross-Lingual Ability of Multilingual BERT: An Empirical Study. | Karthikeyan K, Zihan Wang, Stephen Mayhew, Dan Roth |
| 2019 | ACL | PerspectroScope: A Window to the World of Diverse Perspectives. | Sihao Chen, Daniel Khashabi, Chris Callison-Burch, Dan Roth |
| 2019 | ACL | How Large Are Lions? Inducing Distributions over Quantitative Attributes. | Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth |
| 2019 | ACL | Evidence-based Trustworthiness. | Yi Zhang, Zachary G. Ives, Dan Roth |
| 2019 | CoNLL | A General-Purpose Algorithm for Constrained Sequential Inference. | Daniel Deutsch, Shyam Upadhyay, Dan Roth |
| 2019 | CoNLL | Named Entity Recognition with Partially Annotated Training Data. | Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth |
| 2019 | CoNLL | KnowSemLM: A Knowledge Infused Semantic Language Model. | Haoruo Peng, Qiang Ning, Dan Roth |
| 2019 | CoNLL | Evidence Sentence Extraction for Machine Reading Comprehension. | Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, David A. McAllester, Dan Roth |
| 2019 | EMNLP | Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization. | Daniel Deutsch, Dan Roth |
| 2019 | EMNLP | ner and pos when nothing is capitalized. | Stephen Mayhew, Tatiana Tsygankova, Dan Roth |
| 2019 | EMNLP | An Improved Neural Baseline for Temporal Relation Extraction. | Qiang Ning, Sanjay Subramanian, Dan Roth |
| 2019 | EMNLP | Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. | Wenpeng Yin, Jamaal Hay, Dan Roth |
| 2019 | EMNLP | "Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding. | Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth |
| 2019 | IJCAI | Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning. | Chao Ma, F. A. Rezaur Rahman Chowdhury, Aryan Deshwal, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth |
| 2018 | AAAI | Question Answering as Global Reasoning Over Semantic Abstractions. | Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth |
| 2018 | AAAI | Learning Better Name Translation for Cross-Lingual Wikification. | Chen-Tse Tsai, Dan Roth |
| 2018 | ACL | TALEN: Tool for Annotation of Low-resource ENtities. | Stephen Mayhew, Dan Roth |
| 2018 | ACL | A Distributional and Orthographic Aggregation Model for English Derivational Morphology. | Daniel Deutsch, John Hewitt, Dan Roth |
| 2018 | ACL | A Multi-Axis Annotation Scheme for Event Temporal Relations. | Qiang Ning, Hao Wu, Dan Roth |
| 2018 | ACL | Joint Reasoning for Temporal and Causal Relations. | Qiang Ning, Zhili Feng, Hao Wu, Dan Roth |
| 2018 | ACL | Multi-lingual Entity Discovery and Linking. | Avirup Sil, Heng Ji, Dan Roth, Silviu-Petru Cucerzan |
| 2018 | ACL | End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions. | Wenpeng Yin, Dan Roth, Hinrich Schtze |
| 2018 | COLING | Gold Standard Annotations for Preposition and Verb Sense with Semantic Role Labels in Adult-Child Interactions. | Lori Moon, Christos Christodoulopoulos, Cynthia Fisher, Sandra Franco, Dan Roth |
| 2018 | EMNLP | TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. | Wenpeng Yin, Dan Roth |
| 2018 | EMNLP | CogCompTime: A Tool for Understanding Time in Natural Language. | Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth |
| 2018 | EMNLP | Joint Multilingual Supervision for Cross-lingual Entity Linking. | Shyam Upadhyay, Nitish Gupta, Dan Roth |
| 2018 | EMNLP | Bootstrapping Transliteration with Guided Discovery for Low-Resource Languages. | Shyam Upadhyay, Jordan Kodner, Dan Roth |
| 2018 | EMNLP | On the Strength of Character Language Models for Multilingual Named Entity Recognition. | Xiaodong Yu, Stephen Mayhew, Mark Sammons, Dan Roth |
| 2018 | EMNLP | Zero-Shot Open Entity Typing as Type-Compatible Grounding. | Ben Zhou, Daniel Khashabi, Chen-Tse Tsai, Dan Roth |
| 2017 | AAAI | Active Preference Elicitation for Planning. | Mayukh Das, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan |
| 2017 | AAAI | Incidental Supervision: Moving beyond Supervised Learning. | Dan Roth |
| 2017 | AAAI | Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving. | Subhro Roy, Dan Roth |
| 2017 | ACL | Towards Problem Solving Agents that Communicate and Learn. | Anjali Narayan-Chen, Colin Graber, Mayukh Das, Md. Rakibul Islam, Soham Dan, Sriraam Natarajan, Janardhan Rao Doppa, Julia Hockenmaier, Martha Palmer, Dan Roth |
| 2017 | CoNLL | Learning What is Essential in Questions. | Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth |
| 2017 | CoNLL | A Joint Model for Semantic Sequences: Frames, Entities, Sentiments. | Haoruo Peng, Snigdha Chaturvedi, Dan Roth |
| 2017 | EACL | A Consolidated Open Knowledge Representation for Multiple Texts. | Rachel Wities, Vered Shwartz, Gabriel Stanovsky, Meni Adler, Ori Shapira, Shyam Upadhyay, Dan Roth, Eugenio Martnez-Cmara, Iryna Gurevych, Ido Dagan |
| 2017 | EMNLP | Story Comprehension for Predicting What Happens Next. | Snigdha Chaturvedi, Haoruo Peng, Dan Roth |
| 2017 | EMNLP | Entity Linking via Joint Encoding of Types, Descriptions, and Context. | Nitish Gupta, Sameer Singh, Dan Roth |
| 2017 | EMNLP | Cheap Translation for Cross-Lingual Named Entity Recognition. | Stephen Mayhew, Chen-Tse Tsai, Dan Roth |
| 2017 | EMNLP | A Structured Learning Approach to Temporal Relation Extraction. | Qiang Ning, Zhili Feng, Dan Roth |
| 2016 | AAAI | Labeling the Semantic Roles of Commas. | Naveen Arivazhagan, Christos Christodoulopoulos, Dan Roth |
| 2016 | ACL | Word Embeddings with Limited Memory. | Shaoshi Ling, Yangqiu Song, Dan Roth |
| 2016 | ACL | Two Discourse Driven Language Models for Semantics. | Haoruo Peng, Dan Roth |
| 2016 | ACL | Grammatical Error Correction: Machine Translation and Classifiers. | Alla Rozovskaya, Dan Roth |
| 2016 | ACL | Cross-lingual Models of Word Embeddings: An Empirical Comparison. | Shyam Upadhyay, Manaal Faruqui, Chris Dyer, Dan Roth |
| 2016 | COLING | Better call Saul: Flexible Programming for Learning and Inference in NLP. | Parisa Kordjamshidi, Daniel Khashabi, Christos Christodoulopoulos, Bhargav Mangipudi, Sameer Singh, Dan Roth |
| 2016 | COLING | Illinois Cross-Lingual Wikifier: Grounding Entities in Many Languages to the English Wikipedia. | Chen-Tse Tsai, Dan Roth |
| 2016 | COLING | Revisiting the Evaluation for Cross Document Event Coreference. | Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos, Dan Roth |
| 2016 | CoNLL | Cross-Lingual Named Entity Recognition via Wikification. | Chen-Tse Tsai, Stephen Mayhew, Dan Roth |
| 2016 | EMNLP | Event Detection and Co-reference with Minimal Supervision. | Haoruo Peng, Yangqiu Song, Dan Roth |
| 2016 | EMNLP | Equation Parsing : Mapping Sentences to Grounded Equations. | Subhro Roy, Shyam Upadhyay, Dan Roth |
| 2016 | ICDM | Will I Get in? Modeling the Graduate Admission Process for American Universities. | Narender Gupta, Aman Sawhney, Dan Roth |
| 2015 | AAAI | Structural Learning with Amortized Inference. | Kai-Wei Chang, Shyam Upadhyay, Gourab Kundu, Dan Roth |
| 2015 | CoNLL | A Joint Framework for Coreference Resolution and Mention Head Detection. | Haoruo Peng, Kai-Wei Chang, Dan Roth |
| 2015 | CoNLL | Improving a Pipeline Architecture for Shallow Discourse Parsing. | Yangqiu Song, Haoruo Peng, Parisa Kordjamshidi, Mark Sammons, Dan Roth |
| 2015 | EMNLP | Joint Mention Extraction and Classification with Mention Hypergraphs. | Wei Lu, Dan Roth |
| 2015 | EMNLP | Solving General Arithmetic Word Problems. | Subhro Roy, Dan Roth |
| 2015 | ICML | Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM. | Ching-Pei Lee, Dan Roth |
| 2014 | AAAI | On Dataless Hierarchical Text Classification. | Yangqiu Song, Dan Roth |
| 2014 | ACL | Wikification and Beyond: The Challenges of Entity and Concept Grounding. | Dan Roth, Heng Ji, Ming-Wei Chang, Taylor Cassidy |
| 2014 | CoNLL | The Illinois-Columbia System in the CoNLL-2014 Shared Task. | Alla Rozovskaya, Kai-Wei Chang, Mark Sammons, Dan Roth, Nizar Habash |
| 2014 | EACL | Correcting Grammatical Verb Errors. | Alla Rozovskaya, Dan Roth, Vivek Srikumar |
| 2014 | ICML | A Discriminative Latent Variable Model for Online Clustering. | Rajhans Samdani, Kai-Wei Chang, Dan Roth |
| 2013 | ACL | Leveraging Domain-Independent Information in Semantic Parsing. | Dan Goldwasser, Dan Roth |
| 2013 | ACL | Margin-based Decomposed Amortized Inference. | Gourab Kundu, Vivek Srikumar, Dan Roth |
| 2013 | CIKM | Computational frameworks for semantic analysis and wikification: keynote abstract. | Dan Roth |
| 2013 | CIKM | Concept-based analysis of scientific literature. | Chen-Tse Tsai, Gourab Kundu, Dan Roth |
| 2013 | CoNLL | The University of Illinois System in the CoNLL-2013 Shared Task. | Alla Rozovskaya, Kai-Wei Chang, Mark Sammons, Dan Roth |
| 2013 | EMNLP | A Constrained Latent Variable Model for Coreference Resolution. | Kai-Wei Chang, Rajhans Samdani, Dan Roth |
| 2013 | EMNLP | Relational Inference for Wikification. | Xiao Cheng, Dan Roth |
| 2013 | EMNLP | Using Soft Constraints in Joint Inference for Clinical Concept Recognition. | Prateek Jindal, Dan Roth |
| 2013 | EMNLP | Joint Learning and Inference for Grammatical Error Correction. | Alla Rozovskaya, Dan Roth |
| 2012 | ACL | Automatic Event Extraction with Structured Preference Modeling. | Wei Lu, Dan Roth |
| 2012 | CIKM | Unsupervised discovery of opposing opinion networks from forum discussions. | Yue Lu, Hongning Wang, ChengXiang Zhai, Dan Roth |
| 2012 | CIKM | BiasTrust: teaching biased users about controversial topics. | V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth, Peter Pirolli |
| 2012 | CogSci | New Frontiers in Computational Models of Grammatical Development. | Micah B. Goldwater, Scott E. Friedman, Dedre Gentner, Kenneth D. Forbus, Cynthia Fisher, Michael Connor, Dan Roth, Franklin Chang, Gary S. Dell |
| 2012 | COLING | Using Knowledge and Constraints To Find the Best Antecedent. | Prateek Jindal, Dan Roth |
| 2012 | CoNLL | Illinois-Coref: The UI System in the CoNLL-2012 Shared Task. | Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Mark Sammons, Dan Roth |
| 2012 | EMNLP | Joint Inference for Event Timeline Construction. | Quang Do, Wei Lu, Dan Roth |
| 2012 | EMNLP | A Discriminative Model for Query Spelling Correction with Latent Structural SVM. | Huizhong Duan, Yanen Li, ChengXiang Zhai, Dan Roth |
| 2012 | EMNLP | Learning-based Multi-Sieve Co-reference Resolution with Knowledge. | Lev-Arie Ratinov, Dan Roth |
| 2012 | EMNLP | On Amortizing Inference Cost for Structured Prediction. | Vivek Srikumar, Gourab Kundu, Dan Roth |
| 2012 | ICDM | Efficient Pattern-Based Time Series Classification on GPU. | Kai-Wei Chang, Biplab Deka, Wen-mei W. Hwu, Dan Roth |
| 2012 | ICML | Efficient Decomposed Learning for Structured Prediction. | Rajhans Samdani, Dan Roth |
| 2011 | ACL | Exploiting Syntactico-Semantic Structures for Relation Extraction. | Yee Seng Chan, Dan Roth |
| 2011 | ACL | Confidence Driven Unsupervised Semantic Parsing. | Dan Goldwasser, Roi Reichart, James Clarke, Dan Roth |
| 2011 | ACL | Local and Global Algorithms for Disambiguation to Wikipedia. | Lev-Arie Ratinov, Dan Roth, Doug Downey, Mike Anderson |
| 2011 | ACL | Algorithm Selection and Model Adaptation for ESL Correction Tasks. | Alla Rozovskaya, Dan Roth |
| 2011 | CoNLL | Inference Protocols for Coreference Resolution. | Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Nick Rizzolo, Mark Sammons, Dan Roth |
| 2011 | CoNLL | Adapting Text instead of the Model: An Open Domain Approach. | Gourab Kundu, Dan Roth |
| 2011 | EMNLP | Minimally Supervised Event Causality Identification. | Quang Do, Yee Seng Chan, Dan Roth |
| 2011 | EMNLP | A Joint Model for Extended Semantic Role Labeling. | Vivek Srikumar, Dan Roth |
| 2011 | FUSION | Constrained conditional models for information fusion. | Gourab Kundu, Dan Roth, Rajhans Samdani |
| 2011 | FUSION | On Bayesian interpretation of fact-finding in information networks. | Dong Wang, Tarek F. Abdelzaher, Hossein Ahmadi, Jeff Pasternack, Dan Roth, Manish Gupta, Jiawei Han, Omid Fatemieh, Hieu Khac Le, Charu C. Aggarwal |
| 2011 | ICDM | Learning from Negative Examples in Set-Expansion. | Prateek Jindal, Dan Roth |
| 2010 | ACL | Starting from Scratch in Semantic Role Labeling. | Michael Connor, Yael Gertner, Cynthia Fisher, Dan Roth |
| 2010 | ACL | "Ask Not What Textual Entailment Can Do for You...". | Mark Sammons, V. G. Vinod Vydiswaran, Dan Roth |
| 2010 | COLING | Exploiting Background Knowledge for Relation Extraction. | Yee Seng Chan, Dan Roth |
| 2010 | COLING | Knowing What to Believe (when you already know something). | Jeff Pasternack, Dan Roth |
| 2010 | COLING | Citation Author Topic Model in Expert Search. | Yuancheng Tu, Nikhil Johri, Dan Roth, Julia Hockenmaier |
| 2010 | CoNLL | Driving Semantic Parsing from the World's Response. | James Clarke, Dan Goldwasser, Ming-Wei Chang, Dan Roth |
| 2010 | EMNLP | The Necessity of Combining Adaptation Methods. | Ming-Wei Chang, Michael Connor, Dan Roth |
| 2010 | EMNLP | Constraints Based Taxonomic Relation Classification. | Quang Do, Dan Roth |
| 2010 | EMNLP | Generating Confusion Sets for Context-Sensitive Error Correction. | Alla Rozovskaya, Dan Roth |
| 2010 | ICML | Structured Output Learning with Indirect Supervision. | Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth |
| 2009 | ACL | A Framework for Entailed Relation Recognition. | Dan Roth, Mark Sammons, V. G. Vinod Vydiswaran |
| 2009 | CIKM | Learning better transliterations. | Jeff Pasternack, Dan Roth |
| 2009 | CoNLL | Minimally Supervised Model of Early Language Acquisition. | Michael Connor, Yael Gertner, Cynthia Fisher, Dan Roth |
| 2009 | CoNLL | Design Challenges and Misconceptions in Named Entity Recognition. | Lev-Arie Ratinov, Dan Roth |
| 2009 | CoNLL | Interactive Feature Space Construction using Semantic Information. | Dan Roth, Kevin Small |
| 2009 | EMNLP | Reading to Learn: Constructing Features from Semantic Abstracts. | Jacob Eisenstein, James Clarke, Dan Goldwasser, Dan Roth |
| 2009 | ICDM | Aspect Guided Text Categorization with Unobserved Labels. | Dan Roth, Yuancheng Tu |
| 2008 | AAAI | Learning and Inference with Constraints. | Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo, Dan Roth |
| 2008 | AAAI | Importance of Semantic Representation: Dataless Classification. | Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth, Vivek Srikumar |
| 2008 | AAAI | Proactive Intrusion Detection. | Benjamin Liebald, Dan Roth, Neelay Shah, Vivek Srikumar |
| 2008 | AAAI | Active Learning for Pipeline Models. | Dan Roth, Kevin Small |
| 2008 | ACL | Active Sample Selection for Named Entity Transliteration. | Dan Goldwasser, Dan Roth |
| 2008 | ACL | Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution. | Vivek Srikumar, Roi Reichart, Mark Sammons, Ari Rappoport, Dan Roth |
| 2008 | CoNLL | Baby SRL: Modeling Early Language Acquisition. | Michael Connor, Yael Gertner, Cynthia Fisher, Dan Roth |
| 2008 | EMNLP | Understanding the Value of Features for Coreference Resolution. | Eric Bengtson, Dan Roth |
| 2008 | EMNLP | Transliteration as Constrained Optimization. | Dan Goldwasser, Dan Roth |
| 2008 | ICML | Unsupervised rank aggregation with distance-based models. | Alexandre Klementiev, Dan Roth, Kevin Small |
| 2007 | ACL | Guiding Semi-Supervision with Constraint-Driven Learning. | Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth |
| 2007 | ACL | Semantic and Logical Inference Model for Textual Entailment. | Dan Roth, Mark Sammons |
| 2006 | AAAI | MPE and Partial Inversion in Lifted Probabilistic Variable Elimination. | Rodrigo de Salvo Braz, Eyal Amir, Dan Roth |
| 2006 | ACL | A Pipeline Framework for Dependency Parsing. | Ming-Wei Chang, Quang Do, Dan Roth |
| 2006 | ACL | Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora. | Alexandre Klementiev, Dan Roth |
| 2006 | CoNLL | A Pipeline Model for Bottom-Up Dependency Parsing. | Ming-Wei Chang, Quang Do, Dan Roth |
| 2005 | AAAI | An Inference Model for Semantic Entailment in Natural Language. | Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyakanok, Dan Roth, Mark Sammons |
| 2005 | AISTATS | A Uniform Convergence Bound for the Area Under the ROC Curve. | Shivani Agarwal, Sariel Har-Peled, Dan Roth |
| 2005 | COLT | Learnability of Bipartite Ranking Functions. | Shivani Agarwal, Dan Roth |
| 2005 | CoNLL | Generalized Inference with Multiple Semantic Role Labeling Systems. | Peter Koomen, Vasin Punyakanok, Dan Roth, Wen-tau Yih |
| 2005 | CoNLL | Discriminative Training of Clustering Functions: Theory and Experiments with Entity Identification. | Xin Li, Dan Roth |
| 2005 | ICML | Integer linear programming inference for conditional random fields. | Dan Roth, Wen-tau Yih |
| 2005 | IJCAI | Lifted First-Order Probabilistic Inference. | Rodrigo de Salvo Braz, Eyal Amir, Dan Roth |
| 2004 | AAAI | Identification and Tracing of Ambiguous Names: Discriminative and Generative Approaches. | Xin Li, Paul Morie, Dan Roth |
| 2004 | COLING | Semantic Role Labeling Via Integer Linear Programming Inference. | Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak |
| 2004 | CoNLL | Semantic Role Labeling Via Generalized Inference Over Classifiers. | Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak, Yuancheng Tu |
| 2004 | CoNLL | A Linear Programming Formulation for Global Inference in Natural Language Tasks. | Dan Roth, Wen-tau Yih |
| 2004 | EMNLP | Learning Hebrew Roots: Machine Learning with Linguistic Constraints. | Ezra Daya, Dan Roth, Shuly Wintner |
| 2004 | ICMI | Bimodal HCI-related affect recognition. | Zhihong Zeng, Jilin Tu, Ming Liu, Tong Zhang, Nicholas Rizzolo, ZhenQiu Zhang, Thomas S. Huang, Dan Roth, Stephen E. Levinson |
| 2003 | CoNLL | Phrasenet: towards context sensitive lexical semantics. | Xin Li, Dan Roth, Yuancheng Tu |
| 2003 | ICML | On Kernel Methods for Relational Learning. | Chad M. Cumby, Dan Roth |
| 2003 | ICML | Margin Distribution and Learning. | Ashutosh Garg, Dan Roth |
| 2002 | ALT | Constraint Classification: A New Approach to Multiclass Classification. | Sariel Har-Peled, Dan Roth, Dav Zimak |
| 2002 | COLING | Learning Question Classifiers. | Xin Li, Dan Roth |
| 2002 | COLING | Probabilistic Reasoning for Entity & Relation Recognition. | Dan Roth, Wen-tau Yih |
| 2002 | ECCV | Learning a Sparse Representation for Object Detection. | Shivani Agarwal, Dan Roth |
| 2002 | ECCV | A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition. | Ming-Hsuan Yang, Dan Roth, Narendra Ahuja |
| 2002 | ICML | On generalization bounds, projection profile, and margin distribution. | Ashutosh Garg, Sariel Har-Peled, Dan Roth |
| 2001 | ALT | Learning Coherent Concepts. | Ashutosh Garg, Dan Roth |
| 2001 | CoNLL | Exploring evidence for shallow parsing. | Xin Li, Dan Roth |
| 2001 | EMNLP | A Sequential Model for Multi-Class Classification. | Yair Even-Zohar, Dan Roth |
| 2001 | IAAI | Scaling Up Context-Sensitive Text Correction. | Andrew J. Carlson, Jeffrey Rosen, Dan Roth |
| 2001 | ICIP | Face detection using large margin classifiers. | Ming-Hsuan Yang, Dan Roth, Narendra Ahuja |
| 2000 | AAAI | Toward a Theory of Learning Coherent Concepts. | Dan Roth, Dmitry Zelenko |
| 2000 | COLING | Applying System Combination to Base Noun Phrase Identification. | Erik F. Tjong Kim Sang, Walter Daelemans, Herv Djean, Rob Koeling, Yuval Krymolowski, Vasin Punyakanok, Dan Roth |
| 2000 | CoNLL | Shallow Parsing by Inferencing with Classifiers. | Vasin Punyakanok, Dan Roth |
| 2000 | CoNLL | Learning in Natural Language: Theory and Algorithmic Approaches. | Dan Roth |
| 2000 | CVPR | Learning to Recognize Objects. | Dan Roth, Ming-Hsuan Yang, Narendra Ahuja |
| 2000 | ECCV | Learning to Recognize 3D Objects with SNoW. | Ming-Hsuan Yang, Dan Roth, Narendra Ahuja |
| 1999 | EMNLP | A Learning Approach to Shallow Parsing. | Marcia Muoz, Vasin Punyakanok, Dan Roth, Dav Zimak |
| 1998 | AAAI | Learning to Resolve Natural Language Ambiguities: A Unified Approach. | Dan Roth |
| 1998 | ACL | Part of Speech Tagging Using a Network of Linear Separators. | Dan Roth, Dmitry Zelenko |
| 1998 | COLING | Incorporating Knowledge in Natural Language Learning: A Case Study. | Yuval Krymolowski, Dan Roth |
| 1998 | CVPR | Clustering Appearances of 3D Objects. | Ronen Basri, Dan Roth, David W. Jacobs |
| 1997 | EMNLP | Mistake-Driven Learning in Text Categorization. | Ido Dagan, Yael Karov, Dan Roth |
| 1996 | AAAI | A Connectionist Framework for Reasoning: Reasoning with Examples. | Dan Roth |
| 1996 | ICML | Applying Winnow to Context-Sensitive Spelling Correction. | Andrew R. Golding, Dan Roth |
| 1996 | ICML | Learning Active Classifiers. | Russell Greiner, Adam J. Grove, Dan Roth |
| 1995 | COLT | Learning to Reason with a Restricted View. | Roni Khardon, Dan Roth |
| 1994 | AAAI | Learning to Reason. | Roni Khardon, Dan Roth |
| 1994 | AAAI | Reasoning with Models. | Roni Khardon, Dan Roth |
| 1994 | COLT | On Learning Read- | Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth |
| 1993 | COLT | On Learning Visual Concepts and DNF Formulae. | Eyal Kushilevitz, Dan Roth |