Junyi Jessy Li

According to our database1, Junyi Jessy Li authored at least 92 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Large Language Models Produce Responses Perceived to be Empathic.
CoRR, 2024

FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence.
CoRR, 2024

InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification.
CoRR, 2024

2023
Automatic Essay Scoring Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses.
Dialogue Discourse, April, 2023

Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion.
CoRR, 2023

Interpretable by Design: Wrapper Boxes Combine Neural Performance with Faithful Explanations.
CoRR, 2023

Sarcasm Detection in a Disaster Context.
CoRR, 2023

Using Natural Language Explanations to Rescale Human Judgments.
CoRR, 2023

Multilingual Simplification of Medical Texts.
CoRR, 2023

Multilingual Code Co-evolution using Large Language Models.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Learning Deep Semantics for Test Completion.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Elaborative Simplification as Implicit Questions Under Discussion.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multilingual Simplification of Medical Texts.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

How people talk about each other: Modeling Generalized Intergroup Bias and Emotion.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Unsupervised Extractive Summarization of Emotion Triggers.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success).
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
News Summarization and Evaluation in the Era of GPT-3.
CoRR, 2022

Dimensions of Interpersonal Dynamics in Text: Group Membership and Fine-grained Interpersonal Emotion.
CoRR, 2022

longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.
CoRR, 2022

Political Ideology and Polarization: A Multi-dimensional Approach.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Emotion analysis and detection during COVID-19.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

CoditT5: Pretraining for Source Code and Natural Language Editing.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Using Developer Discussions to Guide Fixing Bugs in Software.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SNaC: Coherence Error Detection for Narrative Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring Systems.
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

Text Simplification of College Admissions Instructions: A Professionally Simplified and Verified Corpus.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

The Role of Context and Uncertainty in Shallow Discourse Parsing.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

How Do We Answer Complex Questions: Discourse Structure of Long-form Answers.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Learning to Describe Solutions for Bug Reports Based on Developer Discussions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Impact of Evaluation Methodologies on Code Summarization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Training Dynamics for Text Summarization Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Evaluating Factuality in Text Simplification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

ProtoTEx: Explaining Model Decisions with Prototype Tensors.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses.
CoRR, 2021

The Case for Claim Difficulty Assessment in Automatic Fact Checking.
CoRR, 2021

Evaluation Methodologies for Code Learning Tasks.
CoRR, 2021

When a crisis strikes: Emotion analysis and detection during COVID-19.
CoRR, 2021

Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approach.
CoRR, 2021

Learning to Generate Code Comments from Class Hierarchies.
CoRR, 2021

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Where Are We in Discourse Relation Recognition?
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Did they answer? Subjective acts and intents in conversational discourse.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Paragraph-level Simplification of Medical Texts.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Roosterize: Suggesting Lemma Names for Coq Verification Projects Using Deep Learning.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

Elaborative Simplification: Content Addition and Explanation Generation in Text Simplification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Deep Just-In-Time Inconsistency Detection Between Comments and Source Code.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring Mechanism.
CoRR, 2020

Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing.
CoRR, 2020

Learning to Format Coq Code Using Language Models.
CoRR, 2020

Assessing Discourse Relations in Language Generation from Pre-trained Language Models.
CoRR, 2020

On the naturalness of hardware descriptions.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

An Annotated Dataset of Discourse Modes in Hindi Stories.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Assessing Discourse Relations in Language Generation from GPT-2.
Proceedings of the 13th International Conference on Natural Language Generation, 2020

Inquisitive Question Generation for High Level Text Comprehension.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Help! Need Advice on Identifying Advice.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Deep Generation of Coq Lemma Names Using Elaborated Terms.
Proceedings of the Automated Reasoning - 10th International Joint Conference, 2020

Learning to Update Natural Language Comments Based on Code Changes.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Detecting Perceived Emotions in Hurricane Disasters.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Discourse Level Factors for Sentence Deletion in Text Simplification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Associating Natural Language Comment and Source Code Entities.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Plain English Summarization of Contracts.
CoRR, 2019

From News to Medical: Cross-domain Discourse Segmentation.
CoRR, 2019

A framework for writing trigger-action todo comments in executable format.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Evaluating Discourse in Structured Text Representations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Domain Agnostic Real-Valued Specificity Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Predicting and Analyzing Language Specificity in Social Media Posts.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Executable Trigger-Action Comments.
CoRR, 2018

Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Natural Language Processing and Program Analysis for Supporting Todo Comments as Software Evolves.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Aggregating and Predicting Sequence Labels from Crowd Annotations.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
The Role of Discourse Units in Near-Extractive Summarization.
Proceedings of the SIGDIAL 2016 Conference, 2016

The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection.
Proceedings of the NAACL HLT 2016, 2016

Improving the Annotation of Sentence Specificity.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Estimating Text Intelligibility via Information Packaging Analysis.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Detecting Content-Heavy Sentences: A Cross-Language Case Study.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Fast and Accurate Prediction of Sentence Specificity.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Reducing Sparsity Improves the Recognition of Implicit Discourse Relations.
Proceedings of the SIGDIAL 2014 Conference, 2014

Addressing Class Imbalance for Improved Recognition of Implicit Discourse Relations.
Proceedings of the SIGDIAL 2014 Conference, 2014

Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system.
Proceedings of the COLING 2014, 2014

Assessing the Discourse Factors that Influence the Quality of Machine Translation.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014


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