Jonathan K. Kummerfeld

Orcid: 0000-0001-5030-3016

Affiliations:
  • University of Sydney, New South Wales, Australia
  • University of Michigan, USA


According to our database1, Jonathan K. Kummerfeld authored at least 61 papers between 2008 and 2024.

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Bibliography

2024
AI-Resilient Interfaces.
CoRR, 2024

What Can Natural Language Processing Do for Peer Review?
CoRR, 2024

SQLucid: Grounding Natural Language Database Queries with Interactive Explanations.
Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Do Text-to-Vis Benchmarks Test Real Use of Visualisations?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Comparative Multidimensional Analysis of Empathetic Systems.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

An AI-Resilient Text Rendering Technique for Reading and Skimming Documents.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Supporting Sensemaking of Large Language Model Outputs at Scale.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations.
CoRR, 2023

Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Empathy Identification Systems are not Accurately Accounting for Context.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Chat Disentanglement: Data for New Domains and Methods for More Accurate Annotation.
Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association, 2023

2022
Augmenting Task-Oriented Dialogue Systems with Relation Extraction.
CoRR, 2022

Using Paraphrases to Study Properties of Contextual Embeddings.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Leveraging Similar Users for Personalized Language Modeling with Limited Data.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Overview of the Eighth Dialog System Technology Challenge: DSTC8.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks.
CoRR, 2021

Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2021

Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Analyzing the Surprising Variability in Word Embedding Stability Across Languages.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Exploring Self-Identified Counseling Expertise in Online Support Forums.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Overview of the seventh Dialog System Technology Challenge: DSTC7.
Comput. Speech Lang., 2020

Improving Low Compute Language Modeling with In-Domain Embedding Initialisation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Compositional Demographic Word Embeddings.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Novel Workflow for Accurately and Efficiently Crowdsourcing Predicate Senses and Argument Labels.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Exploring the Value of Personalized Word Embeddings.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Crowdsourced Detection of Emotionally Manipulative Language.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Learning From Personal Longitudinal Dialog Data.
IEEE Intell. Syst., 2019

The Eighth Dialog System Technology Challenge.
CoRR, 2019

Dialog System Technology Challenge 7.
CoRR, 2019

No-Press Diplomacy: Modeling Multi-Agent Gameplay.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Outlier Detection for Improved Data Quality and Diversity in Dialog Systems.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Look Who's Talking: Inferring Speaker Attributes from Personal Longitudinal Dialog.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

A Large-Scale Corpus for Conversation Disentanglement.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

SLATE: A Super-Lightweight Annotation Tool for Experts.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Analyzing Assumptions in Conversation Disentanglement Research Through the Lens of a New Dataset and Model.
CoRR, 2018

Factors Influencing the Surprising Instability of Word Embeddings.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Data Collection for Dialogue System: A Startup Perspective.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Effective Crowdsourcing for a New Type of Summarization Task.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

World Knowledge for Abstract Meaning Representation Parsing.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Improving Text-to-SQL Evaluation Methodology.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Parsing with Traces: An O(n^4) Algorithm and a Structural Representation.
Trans. Assoc. Comput. Linguistics, 2017

Tools for Automated Analysis of Cybercriminal Markets.
Proceedings of the 26th International Conference on World Wide Web, 2017

Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Algorithms for Identifying Syntactic Errors and Parsing with Graph Structured Output.
PhD thesis, 2016

2015
An Empirical Analysis of Optimization for Max-Margin NLP.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2013
Error-Driven Analysis of Challenges in Coreference Resolution.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

An Empirical Examination of Challenges in Chinese Parsing.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Robust Conversion of CCG Derivations to Phrase Structure Trees.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Mention Detection: Heuristics for the OntoNotes annotations.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011

2010
Morphological Analysis Can Improve a CCG Parser for English.
Proceedings of the COLING 2010, 2010

Faster Parsing by Supertagger Adaptation.
Proceedings of the ACL 2010, 2010

2009
Faster parsing and supertagging model estimation.
Proceedings of the Australasian Language Technology Association Workshop, 2009

2008
Classification of Verb Particle Constructions with the Google Web1T Corpus.
Proceedings of the Australasian Language Technology Association Workshop, 2008


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