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- 2024
[j5]Eunsol Choi
, Younah Kang:
A Multi-sensory Kiosk Interface to Familiarize Users with New Foods. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 34:1-34:26 (2024)- [c55]Fangyuan Xu, Kyle Lo, Luca Soldaini, Bailey Kuehl, Eunsol Choi, David Wadden:
KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions. ACL (Findings) 2024: 12969-12990 - [c54]Apoorva Gondimalla, Varshinee Sreekanth, Govind Joshi, Whitney Nelson, Eunsol Choi, Stephen C. Slota, Sherri R. Greenberg, Kenneth R. Fleischmann, Min Kyung Lee:
Aligning Data with the Goals of an Organization and Its Workers: Designing Data Labeling for Social Service Case Notes. CHI 2024: 765:1-765:21 - [c53]Atula Tejaswi, Nilesh Gupta, Eunsol Choi:
Exploring Design Choices for Building Language-Specific LLMs. EMNLP (Findings) 2024: 10485-10500 - [c52]Anuj Diwan, Anirudh Srinivasan, David Harwath, Eunsol Choi:
Textless Speech-to-Speech Translation With Limited Parallel Data. EMNLP (Findings) 2024: 16208-16224 - [c51]Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins, Anqi Mao, Yutao Zhong:
Learning to Reject with a Fixed Predictor: Application to Decontextualization. ICLR 2024 - [c50]Fangyuan Xu, Weijia Shi, Eunsol Choi:
RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation. ICLR 2024 - [c49]Zhisheng Zheng, Puyuan Peng, Ziyang Ma, Xie Chen, Eunsol Choi, David Harwath:
BAT: Learning to Reason about Spatial Sounds with Large Language Models. ICML 2024 - [c48]Yoonsang Lee, Pranav Atreya, Xi Ye, Eunsol Choi:
Crafting In-context Examples according to LMs' Parametric Knowledge. NAACL-HLT (Findings) 2024: 2069-2085 - [c47]Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, Eunsol Choi:
Complex Claim Verification with Evidence Retrieved in the Wild. NAACL-HLT 2024: 3569-3587 - [i65]Zhisheng Zheng, Puyuan Peng, Ziyang Ma, Xie Chen, Eunsol Choi, David Harwath:
BAT: Learning to Reason about Spatial Sounds with Large Language Models. CoRR abs/2402.01591 (2024) - [i64]Fangyuan Xu, Kyle Lo, Luca Soldaini, Bailey Kuehl, Eunsol Choi, David Wadden:
KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions. CoRR abs/2403.03866 (2024) - [i63]Yoonsang Lee, Xi Ye, Eunsol Choi:
AmbigDocs: Reasoning across Documents on Different Entities under the Same Name. CoRR abs/2404.12447 (2024) - [i62]Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi:
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. CoRR abs/2405.19597 (2024) - [i61]Atula Tejaswi, Nilesh Gupta, Eunsol Choi:
Exploring Design Choices for Building Language-Specific LLMs. CoRR abs/2406.14670 (2024) - [i60]Thom Lake, Eunsol Choi, Greg Durrett:
From Distributional to Overton Pluralism: Investigating Large Language Model Alignment. CoRR abs/2406.17692 (2024) - [i59]Shane Arora, Marzena Karpinska, Hung-Ting Chen, Ipsita Bhattacharjee, Mohit Iyyer, Eunsol Choi:
CaLMQA: Exploring culturally specific long-form question answering across 23 languages. CoRR abs/2406.17761 (2024) - [i58]Zeyu Leo Liu, Shrey Pandit, Xi Ye, Eunsol Choi, Greg Durrett:
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates. CoRR abs/2407.06249 (2024) - [i57]Mina Huh, Fangyuan Xu, Yi-Hao Peng, Chongyan Chen, Hansika Murugu, Danna Gurari, Eunsol Choi, Amy Pavel:
Long-Form Answers to Visual Questions from Blind and Low Vision People. CoRR abs/2408.06303 (2024) - [i56]Hung-Ting Chen, Eunsol Choi:
Open-World Evaluation for Retrieving Diverse Perspectives. CoRR abs/2409.18110 (2024) - [i55]Aniruddh Sriram, Fangyuan Xu, Eunsol Choi, Greg Durrett:
Contrastive Learning to Improve Retrieval for Real-world Fact Checking. CoRR abs/2410.04657 (2024) - 2023
- [j4]Xuewen Yao, Miriam Mikhelson, Megan Micheletti, Eunsol Choi, S. Craig Watkins, Edison Thomaz, Kaya de Barbaro:
Understanding Postpartum Parents' Experiences via Two Digital Platforms. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-23 (2023) - [c46]Anuj Diwan, Eunsol Choi, David Harwath:
When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants. ACL (2) 2023: 1639-1650 - [c45]Gauri Kambhatla, Thuy Nguyen, Eunsol Choi:
Quantifying Train-Evaluation Overlap with Nearest Neighbors. ACL (Findings) 2023: 2905-2920 - [c44]Fangyuan Xu, Yixiao Song, Mohit Iyyer, Eunsol Choi:
A Critical Evaluation of Evaluations for Long-form Question Answering. ACL (1) 2023: 3225-3245 - [c43]Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi:
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. ACL (1) 2023: 5469-5485 - [c42]Abhilash Potluri, Fangyuan Xu, Eunsol Choi:
Concise Answers to Complex Questions: Summarization of Long-form Answers. ACL (1) 2023: 9709-9728 - [c41]Jeremy R. Cole, Palak Jain, Julian Martin Eisenschlos, Michael J. Q. Zhang, Eunsol Choi, Bhuwan Dhingra:
DiffQG: Generating Questions to Summarize Factual Changes. EACL 2023: 3080-3093 - [c40]Ge Gao, Hung-Ting Chen, Yoav Artzi, Eunsol Choi:
Continually Improving Extractive QA via Human Feedback. EMNLP 2023: 406-423 - [c39]Michael J. Q. Zhang, Eunsol Choi:
Mitigating Temporal Misalignment by Discarding Outdated Facts. EMNLP 2023: 14213-14226 - [c38]Anuj Diwan, Ching-Feng Yeh, Wei-Ning Hsu, Paden Tomasello, Eunsol Choi, David Harwath, Abdelrahman Mohamed:
Continual Learning for On-Device Speech Recognition Using Disentangled Conformers. ICASSP 2023: 1-5 - [c37]Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi:
Propagating Knowledge Updates to LMs Through Distillation. NeurIPS 2023 - [i54]Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins:
Learning to Reject with a Fixed Predictor: Application to Decontextualization. CoRR abs/2301.09044 (2023) - [i53]Jeremy R. Cole, Palak Jain, Julian Martin Eisenschlos, Michael J. Q. Zhang, Eunsol Choi, Bhuwan Dhingra:
DIFFQG: Generating Questions to Summarize Factual Changes. CoRR abs/2303.00242 (2023) - [i52]Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi:
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. CoRR abs/2305.01651 (2023) - [i51]Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, Eunsol Choi:
Complex Claim Verification with Evidence Retrieved in the Wild. CoRR abs/2305.11859 (2023) - [i50]Ge Gao, Hung-Ting Chen, Yoav Artzi, Eunsol Choi:
Continually Improving Extractive QA via Human Feedback. CoRR abs/2305.12473 (2023) - [i49]Michael J. Q. Zhang, Eunsol Choi:
Mitigating Temporal Misalignment by Discarding Outdated Facts. CoRR abs/2305.14824 (2023) - [i48]Anuj Diwan, Anirudh Srinivasan, David Harwath, Eunsol Choi:
Unit-based Speech-to-Speech Translation Without Parallel Data. CoRR abs/2305.15405 (2023) - [i47]Fangyuan Xu, Yixiao Song, Mohit Iyyer, Eunsol Choi:
A Critical Evaluation of Evaluations for Long-form Question Answering. CoRR abs/2305.18201 (2023) - [i46]Abhilash Potluri, Fangyuan Xu, Eunsol Choi:
Concise Answers to Complex Questions: Summarization of Long-form Answers. CoRR abs/2305.19271 (2023) - [i45]Anuj Diwan, Eunsol Choi, David Harwath:
When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants. CoRR abs/2306.08667 (2023) - [i44]Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi:
Propagating Knowledge Updates to LMs Through Distillation. CoRR abs/2306.09306 (2023) - [i43]Xuewen Yao, Miriam Mikhelson, S. Craig Watkins, Eunsol Choi, Edison Thomaz, Kaya de Barbaro:
Development and Evaluation of Three Chatbots for Postpartum Mood and Anxiety Disorders. CoRR abs/2308.07407 (2023) - [i42]Fangyuan Xu, Weijia Shi, Eunsol Choi:
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation. CoRR abs/2310.04408 (2023) - [i41]Hung-Ting Chen, Fangyuan Xu, Shane A. Arora, Eunsol Choi:
Understanding Retrieval Augmentation for Long-Form Question Answering. CoRR abs/2310.12150 (2023) - [i40]Michael J. Q. Zhang, Eunsol Choi:
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs. CoRR abs/2311.09469 (2023) - [i39]Yoonsang Lee, Pranav Atreya, Xi Ye, Eunsol Choi:
Crafting In-context Examples according to LMs' Parametric Knowledge. CoRR abs/2311.09579 (2023) - 2022
- [c36]Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi:
Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines. ACL (1) 2022: 3108-3127 - [c35]Fangyuan Xu, Junyi Jessy Li, Eunsol Choi:
How Do We Answer Complex Questions: Discourse Structure of Long-form Answers. ACL (1) 2022: 3556-3572 - [c34]Ge Gao, Eunsol Choi, Yoav Artzi:
Simulating Bandit Learning from User Feedback for Extractive Question Answering. ACL (1) 2022: 5167-5179 - [c33]Anuj Diwan, Layne Berry, Eunsol Choi, David Harwath, Kyle Mahowald:
Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality. EMNLP 2022: 2236-2250 - [c32]Hung-Ting Chen, Michael J. Q. Zhang, Eunsol Choi:
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence. EMNLP 2022: 2292-2307 - [c31]Jifan Chen, Aniruddh Sriram, Eunsol Choi, Greg Durrett:
Generating Literal and Implied Subquestions to Fact-check Complex Claims. EMNLP 2022: 3495-3516 - [c30]Xinyan Yu, Trina Chatterjee, Akari Asai, Junjie Hu, Eunsol Choi:
Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources. EMNLP (Findings) 2022: 3725-3743 - [c29]Anirudh Srinivasan, Eunsol Choi:
TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages. EMNLP (Findings) 2022: 5723-5738 - [c28]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
Entity Cloze By Date: What LMs Know About Unseen Entities. NAACL-HLT (Findings) 2022: 693-702 - [c27]Shufan Wang, Fangyuan Xu, Laure Thompson, Eunsol Choi, Mohit Iyyer:
Modeling Exemplification in Long-form Question Answering via Retrieval. NAACL-HLT 2022: 2079-2092 - [e4]Sebastian Riedel, Eunsol Choi, Andreas Vlachos, James Thorne, Marek Rei, Fabio Petroni:
4th Conference on Automated Knowledge Base Construction, AKBC 2022, London, UK, November 3-5, 2022. 2022 [contents] - [i38]Ge Gao, Eunsol Choi, Yoav Artzi:
Simulating Bandit Learning from User Feedback for Extractive Question Answering. CoRR abs/2203.10079 (2022) - [i37]Fangyuan Xu, Junyi Jessy Li, Eunsol Choi:
How Do We Answer Complex Questions: Discourse Structure of Long-form Answers. CoRR abs/2203.11048 (2022) - [i36]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
Entity Cloze By Date: What LMs Know About Unseen Entities. CoRR abs/2205.02832 (2022) - [i35]Jifan Chen, Aniruddh Sriram, Eunsol Choi, Greg Durrett:
Generating Literal and Implied Subquestions to Fact-check Complex Claims. CoRR abs/2205.06938 (2022) - [i34]Shufan Wang, Fangyuan Xu, Laure Thompson, Eunsol Choi, Mohit Iyyer:
Modeling Exemplification in Long-form Question Answering via Retrieval. CoRR abs/2205.09278 (2022) - [i33]Venelin Kovatchev, Trina Chatterjee, Venkata Subrahmanyan Govindarajan, Jifan Chen, Eunsol Choi, Gabriella Chronis, Anubrata Das, Katrin Erk, Matthew Lease, Junyi Jessy Li, Yating Wu, Kyle Mahowald:
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks. CoRR abs/2206.14729 (2022) - [i32]Akari Asai, Shayne Longpre, Jungo Kasai, Chia-Hsuan Lee, Rui Zhang, Junjie Hu, Ikuya Yamada, Jonathan H. Clark, Eunsol Choi:
MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages. CoRR abs/2207.00758 (2022) - [i31]Hung-Ting Chen, Michael J. Q. Zhang, Eunsol Choi:
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence. CoRR abs/2210.13701 (2022) - [i30]Anuj Diwan, Layne Berry, Eunsol Choi, David Harwath, Kyle Mahowald:
Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality. CoRR abs/2211.00768 (2022) - [i29]Xinyan Velocity Yu, Akari Asai, Trina Chatterjee, Junjie Hu, Eunsol Choi:
Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources. CoRR abs/2211.15649 (2022) - [i28]Anirudh Srinivasan, Eunsol Choi:
TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages. CoRR abs/2211.16496 (2022) - [i27]Anuj Diwan, Ching-Feng Yeh, Wei-Ning Hsu, Paden Tomasello, Eunsol Choi, David Harwath, Abdelrahman Mohamed:
Continual Learning for On-Device Speech Recognition using Disentangled Conformers. CoRR abs/2212.01393 (2022) - [i26]Xuewen Yao, Miriam Mikhelson, Megan Micheletti, Eunsol Choi, S. Craig Watkins, Edison Thomaz, Kaya de Barbaro:
Understanding Postpartum Parents' Experiences via Two Digital Platforms. CoRR abs/2212.11455 (2022) - 2021
- [j3]Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, Michael Collins:
Decontextualization: Making Sentences Stand-Alone. Trans. Assoc. Comput. Linguistics 9: 447-461 (2021) - [j2]Matthew Lamm, Jennimaria Palomaki, Chris Alberti, Daniel Andor, Eunsol Choi, Livio Baldini Soares, Michael Collins:
QED: A Framework and Dataset for Explanations in Question Answering. Trans. Assoc. Comput. Linguistics 9: 790-806 (2021) - [c26]Akari Asai, Eunsol Choi:
Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval. ACL/IJCNLP (1) 2021: 1492-1504 - [c25]Shujian Zhang, Chengyue Gong, Eunsol Choi:
Knowing More About Questions Can Help: Improving Calibration in Question Answering. ACL/IJCNLP (Findings) 2021: 1958-1970 - [c24]Jifan Chen, Eunsol Choi, Greg Durrett:
Can NLI Models Verify QA Systems' Predictions? EMNLP (Findings) 2021: 3841-3854 - [c23]Michael J. Q. Zhang, Eunsol Choi:
SituatedQA: Incorporating Extra-Linguistic Contexts into QA. EMNLP (1) 2021: 7371-7387 - [c22]Shujian Zhang, Chengyue Gong, Eunsol Choi:
Learning with Different Amounts of Annotation: From Zero to Many Labels. EMNLP (1) 2021: 7620-7632 - [c21]Soonho Kwon, Eunsol Choi, Minseok Kim, Sunah Hwang, Dongwoo Kim, Younah Kang:
What Happens to My Instagram Account After I Die? Re-imagining Social Media as a Commemorative Space for Remembrance and Recovery. INTERACT (2) 2021: 449-467 - [c20]Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi:
XOR QA: Cross-lingual Open-Retrieval Question Answering. NAACL-HLT 2021: 547-564 - [c19]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. NeurIPS Datasets and Benchmarks 2021 - [i25]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i24]Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, Michael Collins:
Decontextualization: Making Sentences Stand-Alone. CoRR abs/2102.05169 (2021) - [i23]Shujian Zhang, Chengyue Gong, Eunsol Choi:
Capturing Label Distribution: A Case Study in NLI. CoRR abs/2102.06859 (2021) - [i22]Jifan Chen, Eunsol Choi, Greg Durrett:
Can NLI Models Verify QA Systems' Predictions? CoRR abs/2104.08731 (2021) - [i21]Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi:
Misinfo Belief Frames: A Case Study on Covid & Climate News. CoRR abs/2104.08790 (2021) - [i20]Shujian Zhang, Chengyue Gong, Eunsol Choi:
Knowing More About Questions Can Help: Improving Calibration in Question Answering. CoRR abs/2106.01494 (2021) - [i19]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. CoRR abs/2109.01653 (2021) - [i18]Shujian Zhang, Chengyue Gong, Eunsol Choi:
Learning with Different Amounts of Annotation: From Zero to Many Labels. CoRR abs/2109.04408 (2021) - [i17]Michael J. Q. Zhang, Eunsol Choi:
SituatedQA: Incorporating Extra-Linguistic Contexts into QA. CoRR abs/2109.06157 (2021) - 2020
- [j1]Jonathan H. Clark, Jennimaria Palomaki, Vitaly Nikolaev, Eunsol Choi, Dan Garrette, Michael Collins, Tom Kwiatkowski:
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages. Trans. Assoc. Comput. Linguistics 8: 454-470 (2020) - [c18]Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, Eunsol Choi, Tom Kwiatkowski:
Entities as Experts: Sparse Memory Access with Entity Supervision. EMNLP (1) 2020: 4937-4951 - [c17]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - [i16]Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, Jennimaria Palomaki:
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages. CoRR abs/2003.05002 (2020) - [i15]Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, Eunsol Choi, Tom Kwiatkowski:
Entities as Experts: Sparse Memory Access with Entity Supervision. CoRR abs/2004.07202 (2020) - [i14]Matthew Lamm, Jennimaria Palomaki, Chris Alberti, Daniel Andor, Eunsol Choi, Livio Baldini Soares, Michael Collins:
QED: A Framework and Dataset for Explanations in Question Answering. CoRR abs/2009.06354 (2020) - [i13]Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi:
XOR QA: Cross-lingual Open-Retrieval Question Answering. CoRR abs/2010.11856 (2020) - [i12]Akari Asai, Eunsol Choi:
Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval. CoRR abs/2010.11915 (2020)
2010 – 2019
- 2019
- [b1]Eunsol Choi:
Learning To Understand Entities In Text. University of Washington, USA, 2019 - [c16]Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, Danqi Chen:
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension. MRQA@EMNLP 2019: 1-13 - [c15]Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih:
FlowQA: Grasping Flow in History for Conversational Machine Comprehension. ICLR (Poster) 2019 - [c14]Xiaochuang Han, Eunsol Choi, Chenhao Tan:
No Permanent Friends or Enemies: Tracking Relationships between Nations from News. NAACL-HLT (1) 2019: 1660-1676 - [c13]Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer:
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. NAACL-HLT (1) 2019: 3597-3608 - [e3]Fernando Alva-Manchego, Eunsol Choi, Daniel Khashabi:
Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28 - August 2, 2019, Volume 2: Student Research Workshop. Association for Computational Linguistics 2019, ISBN 978-1-950737-47-5 [contents] - [e2]Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, Danqi Chen:
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, MRQA@EMNLP 2019, Hong Kong, China, November 4, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-81-9 [contents] - [i11]Xiaochuang Han, Eunsol Choi, Chenhao Tan:
No Permanent Friends or Enemies: Tracking Relationships between Nations from News. CoRR abs/1904.08950 (2019) - [i10]Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, Danqi Chen:
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension. CoRR abs/1910.09753 (2019) - 2018
- [c12]Eunsol Choi, Omer Levy, Yejin Choi, Luke Zettlemoyer:
Ultra-Fine Entity Typing. ACL (1) 2018: 87-96 - [c11]Ge Gao, Eunsol Choi, Yejin Choi, Luke Zettlemoyer:
Neural Metaphor Detection in Context. EMNLP 2018: 607-613 - [c10]Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer:
QuAC: Question Answering in Context. EMNLP 2018: 2174-2184 - [e1]Eunsol Choi, Minjoon Seo, Danqi Chen, Robin Jia, Jonathan Berant:
Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, Melbourne, Australia, July 19, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-39-1 [contents] - [i9]Eunsol Choi, Omer Levy, Yejin Choi, Luke Zettlemoyer:
Ultra-Fine Entity Typing. CoRR abs/1807.04905 (2018) - [i8]Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer:
QuAC : Question Answering in Context. CoRR abs/1808.07036 (2018) - [i7]Ge Gao, Eunsol Choi, Yejin Choi, Luke Zettlemoyer:
Neural Metaphor Detection in Context. CoRR abs/1808.09653 (2018) - [i6]Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih:
FlowQA: Grasping Flow in History for Conversational Machine Comprehension. CoRR abs/1810.06683 (2018) - [i5]Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer:
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. CoRR abs/1810.08854 (2018) - 2017
- [c9]Eunsol Choi, Daniel Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alexandre Lacoste, Jonathan Berant:
Coarse-to-Fine Question Answering for Long Documents. ACL (1) 2017: 209-220 - [c8]Mandar Joshi, Eunsol Choi, Daniel S. Weld, Luke Zettlemoyer:
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. ACL (1) 2017: 1601-1611 - [c7]Omer Levy, Minjoon Seo, Eunsol Choi, Luke Zettlemoyer:
Zero-Shot Relation Extraction via Reading Comprehension. CoNLL 2017: 333-342 - [c6]Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, Yejin Choi:
Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking. EMNLP 2017: 2931-2937 - [i4]Mandar Joshi, Eunsol Choi, Daniel S. Weld, Luke Zettlemoyer:
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. CoRR abs/1705.03551 (2017) - [i3]Omer Levy, Minjoon Seo, Eunsol Choi, Luke Zettlemoyer:
Zero-Shot Relation Extraction via Reading Comprehension. CoRR abs/1706.04115 (2017) - 2016
- [c5]Eunsol Choi, Hannah Rashkin, Luke Zettlemoyer, Yejin Choi:
Document-level Sentiment Inference with Social, Faction, and Discourse Context. ACL (1) 2016 - [c4]Eunsol Choi, Matic Horvat, Jonathan May, Kevin Knight, Daniel Marcu:
Extracting Structured Scholarly Information from the Machine Translation Literature. LREC 2016 - [i2]Eunsol Choi, Daniel Hewlett, Alexandre Lacoste, Illia Polosukhin, Jakob Uszkoreit, Jonathan Berant:
Hierarchical Question Answering for Long Documents. CoRR abs/1611.01839 (2016) - 2015
- [c3]Eunsol Choi, Tom Kwiatkowski, Luke Zettlemoyer:
Scalable Semantic Parsing with Partial Ontologies. ACL (1) 2015: 1311-1320 - 2013
- [c2]Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, Luke Zettlemoyer:
Scaling Semantic Parsers with On-the-Fly Ontology Matching. EMNLP 2013: 1545-1556 - 2012
- [c1]Eunsol Choi, Chenhao Tan, Lillian Lee, Cristian Danescu-Niculescu-Mizil, Jennifer Spindel:
Hedge Detection as a Lens on Framing in the GMO Debates: A Position Paper. ExProM@ACL 2012: 70-79 - [i1]Eunsol Choi, Chenhao Tan, Lillian Lee, Cristian Danescu-Niculescu-Mizil, Jennifer Spindel:
Hedge detection as a lens on framing in the GMO debates: A position paper. CoRR abs/1206.1066 (2012)
Coauthor Index
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