Junyi Jessy Li

research

∙ 08/16/2023

Sarcasm Detection in a Disaster Context

During natural disasters, people often use social media platforms such a...

0 Tiberiu Sosea, et al. ∙

research

∙ 07/27/2023

Multilingual Code Co-Evolution Using Large Language Models

Many software projects implement APIs and algorithms in multiple program...

0 Jiyang Zhang, et al. ∙

research

∙ 06/02/2023

Unsupervised Extractive Summarization of Emotion Triggers

Understanding what leads to emotions during large-scale crises is import...

0 Tiberiu Sosea, et al. ∙

research

∙ 05/25/2023

Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias

While existing work on studying bias in NLP focues on negative or pejora...

0 Venkata S Govindarajan, et al. ∙

research

∙ 05/24/2023

Using Natural Language Explanations to Rescale Human Judgments

The rise of large language models (LLMs) has brought a critical need for...

0 Manya Wadhwa, et al. ∙

research

∙ 05/21/2023

Multilingual Simplification of Medical Texts

Automated text simplification aims to produce simple versions of complex...

0 Sebastian Joseph, et al. ∙

research

∙ 05/17/2023

Elaborative Simplification as Implicit Questions Under Discussion

Automated text simplification, a technique useful for making text more a...

0 Yating Wu, et al. ∙

research

∙ 05/10/2023

Summarizing, Simplifying, and Synthesizing Medical Evidence Using GPT-3 (with Varying Success)

Large language models, particularly GPT-3, are able to produce high qual...

0 Chantal Shaib, et al. ∙

research

∙ 02/20/2023

Learning Deep Semantics for Test Completion

Writing tests is a time-consuming yet essential task during software dev...

0 Pengyu Nie, et al. ∙

research

∙ 11/11/2022

Using Developer Discussions to Guide Fixing Bugs in Software

Automatically fixing software bugs is a challenging task. While recent w...

0 Sheena Panthaplackel, et al. ∙

research

∙ 10/22/2022

Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts

Crises such as the COVID-19 pandemic continuously threaten our world and...

0 Hongli Zhan, et al. ∙

research

∙ 10/12/2022

Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion

Automatic discourse processing, which can help understand how sentences ...

0 Wei-Jen Ko, et al. ∙

research

∙ 09/26/2022

News Summarization and Evaluation in the Era of GPT-3

The recent success of zero- and few-shot prompting with models like GPT-...

0 Tanya Goyal, et al. ∙

research

∙ 09/09/2022

Text Simplification of College Admissions Instructions: A Professionally Simplified and Verified Corpus

Access to higher education is critical for minority populations and emer...

0 Zachary W. Taylor, et al. ∙

research

∙ 08/10/2022

CoditT5: Pretraining for Source Code and Natural Language Editing

Pretrained language models have been shown to be effective in many softw...

0 Jiyang Zhang, et al. ∙

research

∙ 06/29/2022

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

Developing methods to adversarially challenge NLP systems is a promising...

0 Venelin Kovatchev, et al. ∙

research

∙ 05/19/2022

SNaC: Coherence Error Detection for Narrative Summarization

Progress in summarizing long texts is inhibited by the lack of appropria...

0 Tanya Goyal, et al. ∙

research

∙ 04/15/2022

Evaluating Factuality in Text Simplification

Automated simplification models aim to make input texts more readable. S...

0 Ashwin Devaraj, et al. ∙

research

∙ 04/11/2022

ProtoTEx: Explaining Model Decisions with Prototype Tensors

We present ProtoTEx, a novel white-box NLP classification architecture b...

0 Anubrata Das, et al. ∙

research

∙ 03/21/2022

How Do We Answer Complex Questions: Discourse Structure of Long-form Answers

Long-form answers, consisting of multiple sentences, can provide nuanced...

0 Fangyuan Xu, et al. ∙

research

∙ 11/01/2021

Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections

While there has been substantial progress in text comprehension through ...

0 Wei-Jen Ko, et al. ∙

research

∙ 10/15/2021

Training Dynamics for Text Summarization Models

Pre-trained language models (e.g. BART) have shown impressive results wh...

0 Tanya Goyal, et al. ∙

research

∙ 10/08/2021

Learning to Describe Solutions for Bug Reports Based on Developer Discussions

When a software bug is reported, developers engage in a discussion to co...

0 Sheena Panthaplackel, et al. ∙

research

∙ 09/24/2021

AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses

Deep-learning based Automatic Essay Scoring (AES) systems are being acti...

25 Yaman Kumar Singla, et al. ∙

research

∙ 09/20/2021

The Case for Claim Difficulty Assessment in Automatic Fact Checking

Fact-checking is the process (human, automated, or hybrid) by which clai...

0 Prakhar Singh, et al. ∙

research

∙ 08/22/2021

Evaluation Methodologies for Code Learning Tasks

There has been a growing interest in developing machine learning (ML) mo...

0 Pengyu Nie, et al. ∙

research

∙ 07/23/2021

When a crisis strikes: Emotion analysis and detection during COVID-19

Crises such as natural disasters, global pandemics, and social unrest co...

23 Alexander Tekle, et al. ∙

research

∙ 04/12/2021

Paragraph-level Simplification of Medical Texts

We consider the problem of learning to simplify medical texts. This is i...

0 Ashwin Devaraj, et al. ∙

research

∙ 04/09/2021

Did they answer? Subjective acts and intents in conversational discourse

Discourse signals are often implicit, leaving it up to the interpreter t...

0 Elisa Ferracane, et al. ∙

research

∙ 03/24/2021

Learning to Generate Code Comments from Class Hierarchies

Descriptive code comments are essential for supporting code comprehensio...

0 Jiyang Zhang, et al. ∙

research

∙ 03/01/2021

Roosterize: Suggesting Lemma Names for Coq Verification Projects Using Deep Learning

Naming conventions are an important concern in large verification projec...

0 Pengyu Nie, et al. ∙

research

∙ 12/27/2020

My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring Mechanism

Significant progress has been made in deep-learning based Automatic Essa...

7 Swapnil Parekh, et al. ∙

research

∙ 10/20/2020

Elaborative Simplification: Content Addition and Explanation Generation in Text Simplification

Much of modern day text simplification research focuses on sentence-leve...

0 Neha Srikanth, et al. ∙

research

∙ 10/06/2020

Help! Need Advice on Identifying Advice

Humans use language to accomplish a wide variety of tasks - asking for a...

0 Venkata Subrahmanyan Govindarajan, et al. ∙

research

∙ 10/04/2020

Inquisitive Question Generation for High Level Text Comprehension

Inquisitive probing questions come naturally to humans in a variety of s...

0 Wei-Jen Ko, et al. ∙

research

∙ 10/04/2020

Deep Just-In-Time Inconsistency Detection Between Comments and Source Code

Natural language comments convey key aspects of source code such as impl...

0 Sheena Panthaplackel, et al. ∙

research

∙ 06/18/2020

Learning to Format Coq Code Using Language Models

Should the final right bracket in a record declaration be on a separate ...

0 Pengyu Nie, et al. ∙

research

∙ 04/29/2020

Detecting Perceived Emotions in Hurricane Disasters

Natural disasters (e.g., hurricanes) affect millions of people each year...

0 Shrey Desai, et al. ∙

research

∙ 04/26/2020

Assessing Discourse Relations in Language Generation from Pre-trained Language Models

Recent advances in NLP have been attributed to the emergence of large-sc...

0 Wei-Jen Ko, et al. ∙

research

∙ 04/26/2020

Assessing Discourse Relations in Language Generationfrom Pre-trained Language Models

Recent advances in NLP have been attributed to the emergence of large-sc...

0 Wei-Jen Ko, et al. ∙

research

∙ 04/25/2020

Learning to Update Natural Language Comments Based on Code Changes

We formulate the novel task of automatically updating an existing natura...

0 Sheena Panthaplackel, et al. ∙

research

∙ 04/16/2020

Deep Generation of Coq Lemma Names Using Elaborated Terms

Coding conventions for naming, spacing, and other essentially stylistic ...

0 Pengyu Nie, et al. ∙

research

∙ 03/04/2020

Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification

Implicit discourse relations are not only more challenging to classify, ...

0 Hsin-Ping Huang, et al. ∙

research

∙ 12/13/2019

Associating Natural Language Comment and Source Code Entities

Comments are an integral part of software development; they are natural ...

0 Sheena Panthaplackel, et al. ∙

research

∙ 11/23/2019

Discourse Level Factors for Sentence Deletion in Text Simplification

This paper presents a data-driven study focusing on analyzing and predic...

0 Yang Zhong, et al. ∙

research

∙ 10/28/2019

Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis

Insightful findings in political science often require researchers to an...

0 Shrey Desai, et al. ∙

research

∙ 06/04/2019

Evaluating Discourse in Structured Text Representations

Discourse structure is integral to understanding a text and is helpful i...

0 Elisa Ferracane, et al. ∙

research

∙ 06/02/2019

Plain English Summarization of Contracts

Unilateral contracts, such as terms of service, play a substantial role ...

0 Laura Manor, et al. ∙

research

∙ 04/14/2019

From News to Medical: Cross-domain Discourse Segmentation

The first step in discourse analysis involves dividing a text into segme...

0 Elisa Ferracane, et al. ∙

research

∙ 11/13/2018

Domain Agnostic Real-Valued Specificity Prediction

Sentence specificity quantifies the level of detail in a sentence, chara...

0 Wei-Jen Ko, et al. ∙

Junyi Jessy Li

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