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ORCIDJonathan K. Kummerfeld
Person information
- affiliation: University of Sydney, New South Wales, Australia
- affiliation: University of Michigan, USA
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2020 – today
- 2024
[c48]Wichayaporn Wongkamjan, Feng Gu, Yanze Wang, Ulf Hermjakob, Jonathan May, Brandon M. Stewart, Jonathan K. Kummerfeld, Denis Peskoff, Jordan L. Boyd-Graber:
More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play. ACL (1) 2024: 12423-12441- [c47]Katy Ilonka Gero
, Chelse Swoopes, Ziwei Gu, Jonathan K. Kummerfeld, Elena L. Glassman:
Supporting Sensemaking of Large Language Model Outputs at Scale. CHI 2024: 838:1-838:21 - [c46]Ziwei Gu, Ian Arawjo, Kenneth Li, Jonathan K. Kummerfeld, Elena L. Glassman:
An AI-Resilient Text Rendering Technique for Reading and Skimming Documents. CHI 2024: 898:1-898:22 - [c45]Andrew Lee, Jonathan K. Kummerfeld, Lawrence C. An, Rada Mihalcea:
A Comparative Multidimensional Analysis of Empathetic Systems. EACL (1) 2024: 179-189 - [c44]Hy Nguyen, Xuefei He, Andrew Reeson, Cécile Paris, Josiah Poon, Jonathan K. Kummerfeld:
Do Text-to-Vis Benchmarks Test Real Use of Visualisations? EMNLP 2024: 7433-7441 - [c43]Andrew Lee, Xiaoyan Bai, Itamar Pres, Martin Wattenberg, Jonathan K. Kummerfeld, Rada Mihalcea:
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity. ICML 2024 - [c42]Yuan Tian, Jonathan K. Kummerfeld, Toby Jia-Jun Li, Tianyi Zhang:
SQLucid: Grounding Natural Language Database Queries with Interactive Explanations. UIST 2024: 12:1-12:20 - [i33]Andrew Lee, Xiaoyan Bai, Itamar Pres, Martin Wattenberg, Jonathan K. Kummerfeld, Rada Mihalcea:
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity. CoRR abs/2401.01967 (2024) - [i32]Ziwei Gu, Ian Arawjo, Kenneth Li, Jonathan K. Kummerfeld, Elena L. Glassman:
An AI-Resilient Text Rendering Technique for Reading and Skimming Documents. CoRR abs/2401.10873 (2024) - [i31]Katy Ilonka Gero, Chelse Swoopes, Ziwei Gu, Jonathan K. Kummerfeld, Elena L. Glassman:
Supporting Sensemaking of Large Language Model Outputs at Scale. CoRR abs/2401.13726 (2024) - [i30]Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych:
What Can Natural Language Processing Do for Peer Review? CoRR abs/2405.06563 (2024) - [i29]Elena L. Glassman, Ziwei Gu, Jonathan K. Kummerfeld:
AI-Resilient Interfaces. CoRR abs/2405.08447 (2024) - [i28]Wichayaporn Wongkamjan, Feng Gu, Yanze Wang, Ulf Hermjakob, Jonathan May, Brandon M. Stewart, Jonathan K. Kummerfeld, Denis Peskoff, Jordan Lee Boyd-Graber:
More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play. CoRR abs/2406.04643 (2024) - [i27]Hy Nguyen, Xuefei He, Andrew Reeson, Cécile Paris, Josiah Poon, Jonathan K. Kummerfeld:
Do Text-to-Vis Benchmarks Test Real Use of Visualisations? CoRR abs/2407.19726 (2024) - [i26]Yuan Tian, Jonathan K. Kummerfeld, Toby Jia-Jun Li, Tianyi Zhang:
SQLucid: Grounding Natural Language Database Queries with Interactive Explanations. CoRR abs/2409.06178 (2024) - 2023
- [c41]Sai R. Gouravajhala, Andrew M. Vernier, Yiming Shi, Zihan Li, Mark S. Ackerman, Jonathan K. Kummerfeld:
Chat Disentanglement: Data for New Domains and Methods for More Accurate Annotation. ALTA 2023: 112-117 - [c40]Andrew Lee, Jonathan K. Kummerfeld, Larry An, Rada Mihalcea:
Empathy Identification Systems are not Accurately Accounting for Context. EACL 2023: 1678-1687 - [c39]Yuan Tian, Zheng Zhang, Zheng Ning, Toby Jia-Jun Li, Jonathan K. Kummerfeld, Tianyi Zhang:
Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations. EMNLP 2023: 16149-16166 - [i25]Yuan Tian, Toby Jia-Jun Li, Jonathan K. Kummerfeld, Tianyi Zhang:
Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations. CoRR abs/2305.07372 (2023) - 2022
- [c38]Charles Welch, Chenxi Gu, Jonathan K. Kummerfeld, Verónica Pérez-Rosas, Rada Mihalcea:
Leveraging Similar Users for Personalized Language Modeling with Limited Data. ACL (1) 2022: 1742-1752 - [c37]Laura Burdick, Jonathan K. Kummerfeld, Rada Mihalcea:
Using Paraphrases to Study Properties of Contextual Embeddings. NAACL-HLT 2022: 4558-4568 - [i24]Laura Burdick, Jonathan K. Kummerfeld, Rada Mihalcea:
Using Paraphrases to Study Properties of Contextual Embeddings. CoRR abs/2207.05553 (2022) - [i23]Andrew Lee, Zhenguo Chen, Kevin Leach, Jonathan K. Kummerfeld:
Augmenting Task-Oriented Dialogue Systems with Relation Extraction. CoRR abs/2210.13344 (2022) - 2021
- [j4]Seokhwan Kim, Michel Galley, R. Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis A. Lastras, Jonathan K. Kummerfeld, Walter S. Lasecki, Chiori Hori, Anoop Cherian, Tim K. Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta:
Overview of the Eighth Dialog System Technology Challenge: DSTC8. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2529-2540 (2021) - [c36]Jonathan K. Kummerfeld:
Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing. ACL/IJCNLP (2) 2021: 343-349 - [c35]Allison Lahnala, Yuntian Zhao, Charles Welch, Jonathan K. Kummerfeld, Lawrence C. An, Kenneth Resnicow, Rada Mihalcea, Verónica Pérez-Rosas:
Exploring Self-Identified Counseling Expertise in Online Support Forums. ACL/IJCNLP (Findings) 2021: 4467-4480 - [c34]Andrew Lee, Jonathan K. Kummerfeld, Larry An, Rada Mihalcea:
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health. EMNLP (Findings) 2021: 4257-4272 - [c33]Laura Burdick, Jonathan K. Kummerfeld, Rada Mihalcea:
Analyzing the Surprising Variability in Word Embedding Stability Across Languages. EMNLP (1) 2021: 5891-5901 - [c32]Allison Lahnala, Gauri Kambhatla, Jiajun Peng, Matthew Whitehead, Gillian Minnehan, Eric Guldan, Jonathan K. Kummerfeld, Anil Çamci, Rada Mihalcea:
Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction. EvoMUSART 2021: 171-186 - [i22]Allison Lahnala, Gauri Kambhatla, Jiajun Peng, Matthew Whitehead, Gillian Minnehan, Eric Guldan, Jonathan K. Kummerfeld, Anil Çamci, Rada Mihalcea:
Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction. CoRR abs/2102.02917 (2021) - [i21]Jonathan K. Kummerfeld:
Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing. CoRR abs/2105.12762 (2021) - [i20]Allison Lahnala, Yuntian Zhao, Charles Welch, Jonathan K. Kummerfeld, Lawrence C. An, Kenneth Resnicow, Rada Mihalcea, Verónica Pérez-Rosas:
Exploring Self-Identified Counseling Expertise in Online Support Forums. CoRR abs/2106.12976 (2021) - [i19]Andrew Lee, Jonathan K. Kummerfeld, Lawrence C. An, Rada Mihalcea:
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health. CoRR abs/2109.13770 (2021) - [i18]Janarthanan Rajendran, Jonathan K. Kummerfeld, Satinder Singh:
Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks. CoRR abs/2110.15724 (2021) - 2020
- [j3]Luis Fernando D'Haro, Koichiro Yoshino, Chiori Hori, Tim K. Marks, Lazaros Polymenakos, Jonathan K. Kummerfeld, Michel Galley, Xiang Gao:
Overview of the seventh Dialog System Technology Challenge: DSTC7. Comput. Speech Lang. 62: 101068 (2020) - [c31]Jordan S. Huffaker, Jonathan K. Kummerfeld, Walter S. Lasecki, Mark S. Ackerman:
Crowdsourced Detection of Emotionally Manipulative Language. CHI 2020: 1-14 - [c30]Stefan Larson, Adrian Cheung, Anish Mahendran, Kevin Leach, Jonathan K. Kummerfeld:
Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods. COLING 2020: 5035-5046 - [c29]Charles Welch, Jonathan K. Kummerfeld, Verónica Pérez-Rosas, Rada Mihalcea:
Exploring the Value of Personalized Word Embeddings. COLING 2020: 6856-6862 - [c28]Youxuan Jiang, Huaiyu Zhu, Jonathan K. Kummerfeld, Yunyao Li, Walter S. Lasecki:
A Novel Workflow for Accurately and Efficiently Crowdsourcing Predicate Senses and Argument Labels. EMNLP (Findings) 2020: 415-421 - [c27]Charles Welch, Jonathan K. Kummerfeld, Verónica Pérez-Rosas, Rada Mihalcea:
Compositional Demographic Word Embeddings. EMNLP (1) 2020: 4076-4089 - [c26]Stefan Larson, Anthony Zheng, Anish Mahendran, Rishi Tekriwal, Adrian Cheung, Eric Guldan, Kevin Leach, Jonathan K. Kummerfeld:
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness. EMNLP (1) 2020: 8097-8106 - [c25]Charles Welch, Rada Mihalcea, Jonathan K. Kummerfeld:
Improving Low Compute Language Modeling with In-Domain Embedding Initialisation. EMNLP (1) 2020: 8625-8634 - [i17]Laura Burdick, Jonathan K. Kummerfeld, Rada Mihalcea:
Analyzing the Surprising Variability in Word Embedding Stability Across Languages. CoRR abs/2004.14876 (2020) - [i16]Charles Welch, Rada Mihalcea, Jonathan K. Kummerfeld:
Improving Low Compute Language Modeling with In-Domain Embedding Initialisation. CoRR abs/2009.14109 (2020) - [i15]Charles Welch, Jonathan K. Kummerfeld, Verónica Pérez-Rosas, Rada Mihalcea:
Compositional Demographic Word Embeddings. CoRR abs/2010.02986 (2020) - [i14]Charles Welch, Jonathan K. Kummerfeld, Verónica Pérez-Rosas, Rada Mihalcea:
Exploring the Value of Personalized Word Embeddings. CoRR abs/2011.06057 (2020)
2010 – 2019
- 2019
- [j2]Charles Welch, Verónica Pérez-Rosas, Jonathan K. Kummerfeld, Rada Mihalcea, Erik Cambria:
Learning From Personal Longitudinal Dialog Data. IEEE Intell. Syst. 34(4): 16-23 (2019) - [c24]Jonathan K. Kummerfeld:
SLATE: A Super-Lightweight Annotation Tool for Experts. ACL (3) 2019: 7-12 - [c23]Jonathan K. Kummerfeld, Sai R. Gouravajhala, Joseph Peper, Vignesh Athreya, R. Chulaka Gunasekara, Jatin Ganhotra, Siva Sankalp Patel, Lazaros C. Polymenakos, Walter S. Lasecki:
A Large-Scale Corpus for Conversation Disentanglement. ACL (1) 2019: 3846-3856 - [c22]Charles Welch, Verónica Pérez-Rosas, Jonathan K. Kummerfeld, Rada Mihalcea:
Look Who's Talking: Inferring Speaker Attributes from Personal Longitudinal Dialog. CICLing (2) 2019: 476-490 - [c21]Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars:
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. EMNLP/IJCNLP (1) 2019: 1311-1316 - [c20]Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars:
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. NAACL-HLT (1) 2019: 517-527 - [c19]Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Joelle Pineau, Satinder Singh, Aaron C. Courville:
No-Press Diplomacy: Modeling Multi-Agent Gameplay. NeurIPS 2019: 4476-4487 - [i13]Koichiro Yoshino, Chiori Hori, Julien Perez, Luis Fernando D'Haro, Lazaros Polymenakos, R. Chulaka Gunasekara, Walter S. Lasecki, Jonathan K. Kummerfeld, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan, Xiang Gao, Huda AlAmri, Tim K. Marks, Devi Parikh, Dhruv Batra:
Dialog System Technology Challenge 7. CoRR abs/1901.03461 (2019) - [i12]Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars:
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. CoRR abs/1904.03122 (2019) - [i11]Charles Welch, Verónica Pérez-Rosas, Jonathan K. Kummerfeld, Rada Mihalcea:
Look Who's Talking: Inferring Speaker Attributes from Personal Longitudinal Dialog. CoRR abs/1904.11610 (2019) - [i10]Jonathan K. Kummerfeld:
SLATE: A Super-Lightweight Annotation Tool for Experts. CoRR abs/1907.08236 (2019) - [i9]Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars:
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. CoRR abs/1909.02027 (2019) - [i8]Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Satinder Singh, Joelle Pineau, Aaron C. Courville:
No Press Diplomacy: Modeling Multi-Agent Gameplay. CoRR abs/1909.02128 (2019) - [i7]Seokhwan Kim, Michel Galley, R. Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis A. Lastras, Jonathan K. Kummerfeld, Walter S. Lasecki, Chiori Hori, Anoop Cherian, Tim K. Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta:
The Eighth Dialog System Technology Challenge. CoRR abs/1911.06394 (2019) - 2018
- [c18]Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, Dragomir R. Radev:
Improving Text-to-SQL Evaluation Methodology. ACL (1) 2018: 351-360 - [c17]Charles Welch, Jonathan K. Kummerfeld, Song Feng, Rada Mihalcea:
World Knowledge for Abstract Meaning Representation Parsing. LREC 2018 - [c16]Yiping Kang, Yunqi Zhang, Jonathan K. Kummerfeld, Lingjia Tang, Jason Mars:
Data Collection for Dialogue System: A Startup Perspective. NAACL-HLT (3) 2018: 33-40 - [c15]Youxuan Jiang, Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Walter S. Lasecki:
Effective Crowdsourcing for a New Type of Summarization Task. NAACL-HLT (2) 2018: 628-633 - [c14]Laura Wendlandt, Jonathan K. Kummerfeld, Rada Mihalcea:
Factors Influencing the Surprising Instability of Word Embeddings. NAACL-HLT 2018: 2092-2102 - [i6]Laura Wendlandt, Jonathan K. Kummerfeld, Rada Mihalcea:
Factors Influencing the Surprising Instability of Word Embeddings. CoRR abs/1804.09692 (2018) - [i5]Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, Dragomir R. Radev:
Improving Text-to-SQL Evaluation Methodology. CoRR abs/1806.09029 (2018) - [i4]Jonathan K. Kummerfeld, Sai R. Gouravajhala, Joseph Peper, Vignesh Athreya, R. Chulaka Gunasekara, Jatin Ganhotra, Siva Sankalp Patel, Lazaros Polymenakos, Walter S. Lasecki:
Analyzing Assumptions in Conversation Disentanglement Research Through the Lens of a New Dataset and Model. CoRR abs/1810.11118 (2018) - 2017
- [j1]Jonathan K. Kummerfeld, Dan Klein:
Parsing with Traces: An O(n^4) Algorithm and a Structural Representation. Trans. Assoc. Comput. Linguistics 5: 441-454 (2017) - [c13]Youxuan Jiang, Jonathan K. Kummerfeld, Walter S. Lasecki:
Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection. ACL (2) 2017: 103-109 - [c12]Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson:
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. EMNLP 2017: 2598-2607 - [c11]Rebecca S. Portnoff, Sadia Afroz, Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Damon McCoy, Kirill Levchenko, Vern Paxson:
Tools for Automated Analysis of Cybercriminal Markets. WWW 2017: 657-666 - [i3]Youxuan Jiang, Jonathan K. Kummerfeld, Walter S. Lasecki:
Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection. CoRR abs/1704.05753 (2017) - [i2]Jonathan K. Kummerfeld, Dan Klein:
Parsing with Traces: An $O(n^4)$ Algorithm and a Structural Representation. CoRR abs/1707.04221 (2017) - [i1]Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson:
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. CoRR abs/1708.09609 (2017) - 2016
- [b1]Jonathan K. Kummerfeld:
Algorithms for Identifying Syntactic Errors and Parsing with Graph Structured Output. University of California, Berkeley, USA, 2016 - 2015
- [c10]Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Dan Klein:
An Empirical Analysis of Optimization for Max-Margin NLP. EMNLP 2015: 273-279 - 2013
- [c9]Jonathan K. Kummerfeld, Daniel Tse, James R. Curran, Dan Klein:
An Empirical Examination of Challenges in Chinese Parsing. ACL (2) 2013: 98-103 - [c8]Jonathan K. Kummerfeld, Dan Klein:
Error-Driven Analysis of Challenges in Coreference Resolution. EMNLP 2013: 265-277 - 2012
- [c7]Jonathan K. Kummerfeld, Dan Klein, James R. Curran:
Robust Conversion of CCG Derivations to Phrase Structure Trees. ACL (2) 2012: 105-109 - [c6]Jonathan K. Kummerfeld, David Hall, James R. Curran, Dan Klein:
Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output. EMNLP-CoNLL 2012: 1048-1059 - 2011
- [c5]Jonathan K. Kummerfeld, Mohit Bansal, David Burkett, Dan Klein:
Mention Detection: Heuristics for the OntoNotes annotations. CoNLL Shared Task 2011: 102-106 - 2010
- [c4]Jonathan K. Kummerfeld, Jessika Roesner, Tim Dawborn, James Haggerty, James R. Curran, Stephen Clark:
Faster Parsing by Supertagger Adaptation. ACL 2010: 345-355 - [c3]Matthew Honnibal, Jonathan K. Kummerfeld, James R. Curran:
Morphological Analysis Can Improve a CCG Parser for English. COLING (Posters) 2010: 445-453
2000 – 2009
- 2009
- [c2]Jonathan K. Kummerfeld, Jessika Roesner, James R. Curran:
Faster parsing and supertagging model estimation. ALTA 2009: 62-70 - 2008
- [c1]Jonathan K. Kummerfeld, James R. Curran:
Classification of Verb Particle Constructions with the Google Web1T Corpus. ALTA 2008: 55-63
Coauthor Index
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