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08/16/2023
Sarcasm Detection in a Disaster Context
During natural disasters, people often use social media platforms such a...
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07/27/2023
Multilingual Code Co-Evolution Using Large Language Models
Many software projects implement APIs and algorithms in multiple program...
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06/02/2023
Unsupervised Extractive Summarization of Emotion Triggers
Understanding what leads to emotions during large-scale crises is import...
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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...
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05/24/2023
Using Natural Language Explanations to Rescale Human Judgments
The rise of large language models (LLMs) has brought a critical need for...
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05/21/2023
Multilingual Simplification of Medical Texts
Automated text simplification aims to produce simple versions of complex...
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05/17/2023
Elaborative Simplification as Implicit Questions Under Discussion
Automated text simplification, a technique useful for making text more a...
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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...
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02/20/2023
Learning Deep Semantics for Test Completion
Writing tests is a time-consuming yet essential task during software dev...
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11/11/2022
Using Developer Discussions to Guide Fixing Bugs in Software
Automatically fixing software bugs is a challenging task. While recent w...
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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...
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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 ...
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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-...
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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...
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08/10/2022
CoditT5: Pretraining for Source Code and Natural Language Editing
Pretrained language models have been shown to be effective in many softw...
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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...
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05/19/2022
SNaC: Coherence Error Detection for Narrative Summarization
Progress in summarizing long texts is inhibited by the lack of appropria...
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04/15/2022
Evaluating Factuality in Text Simplification
Automated simplification models aim to make input texts more readable. S...
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04/11/2022
ProtoTEx: Explaining Model Decisions with Prototype Tensors
We present ProtoTEx, a novel white-box NLP classification architecture b...
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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...
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11/01/2021
Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections
While there has been substantial progress in text comprehension through ...
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10/15/2021
Training Dynamics for Text Summarization Models
Pre-trained language models (e.g. BART) have shown impressive results wh...
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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...
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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...
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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...
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08/22/2021
Evaluation Methodologies for Code Learning Tasks
There has been a growing interest in developing machine learning (ML) mo...
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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...
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04/12/2021
Paragraph-level Simplification of Medical Texts
We consider the problem of learning to simplify medical texts. This is i...
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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...
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03/24/2021
Learning to Generate Code Comments from Class Hierarchies
Descriptive code comments are essential for supporting code comprehensio...
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03/01/2021
Roosterize: Suggesting Lemma Names for Coq Verification Projects Using Deep Learning
Naming conventions are an important concern in large verification projec...
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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...
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10/20/2020
Elaborative Simplification: Content Addition and Explanation Generation in Text Simplification
Much of modern day text simplification research focuses on sentence-leve...
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10/06/2020
Help! Need Advice on Identifying Advice
Humans use language to accomplish a wide variety of tasks - asking for a...
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10/04/2020
Inquisitive Question Generation for High Level Text Comprehension
Inquisitive probing questions come naturally to humans in a variety of s...
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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...
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06/18/2020
Learning to Format Coq Code Using Language Models
Should the final right bracket in a record declaration be on a separate ...
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04/29/2020
Detecting Perceived Emotions in Hurricane Disasters
Natural disasters (e.g., hurricanes) affect millions of people each year...
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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...
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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...
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04/25/2020
Learning to Update Natural Language Comments Based on Code Changes
We formulate the novel task of automatically updating an existing natura...
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04/16/2020
Deep Generation of Coq Lemma Names Using Elaborated Terms
Coding conventions for naming, spacing, and other essentially stylistic ...
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03/04/2020
Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification
Implicit discourse relations are not only more challenging to classify, ...
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12/13/2019
Associating Natural Language Comment and Source Code Entities
Comments are an integral part of software development; they are natural ...
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11/23/2019
Discourse Level Factors for Sentence Deletion in Text Simplification
This paper presents a data-driven study focusing on analyzing and predic...
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10/28/2019
Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis
Insightful findings in political science often require researchers to an...
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06/04/2019
Evaluating Discourse in Structured Text Representations
Discourse structure is integral to understanding a text and is helpful i...
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06/02/2019
Plain English Summarization of Contracts
Unilateral contracts, such as terms of service, play a substantial role ...
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04/14/2019
From News to Medical: Cross-domain Discourse Segmentation
The first step in discourse analysis involves dividing a text into segme...
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11/13/2018
