Search Results for author: Junyi Jessy Li

Found 47 papers, 20 papers with code

Where Are We in Discourse Relation Recognition?

no code implementations SIGDIAL (ACL) 2021 Katherine Atwell, Junyi Jessy Li, Malihe Alikhani

Discourse parsers recognize the intentional and inferential relationships that organize extended texts.

Discourse Parsing

Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections

no code implementations1 Nov 2021 Wei-Jen Ko, Cutter Dalton, Mark Simmons, Eliza Fisher, Greg Durrett, Junyi Jessy Li

While there has been substantial progress in text comprehension through simple factoid question answering, more holistic comprehension of a discourse still presents a major challenge.

Question Answering Reading Comprehension

Training Dynamics for Text Summarization Models

no code implementations15 Oct 2021 Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, Greg Durrett

Across different datasets (CNN/DM, XSum, MediaSum) and summary properties, such as abstractiveness and hallucination, we study what the model learns at different stages of its fine-tuning process.

Text Summarization

Learning to Describe Solutions for Bug Reports Based on Developer Discussions

no code implementations8 Oct 2021 Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney

When a software bug is reported, developers engage in a discussion to collaboratively resolve it.

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

no code implementations24 Sep 2021 Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Junyi Jessy Li, Rajiv Ratn Shah, Changyou Chen

This is in stark contrast to recent probing studies on pre-trained representation learning models, which show that rich linguistic features such as parts-of-speech and morphology are encoded by them.

Representation Learning

The Case for Claim Difficulty Assessment in Automatic Fact Checking

no code implementations20 Sep 2021 Prakhar Singh, Anubrata Das, Junyi Jessy Li, Matthew Lease

Fact-checking is the process (human, automated, or hybrid) by which claims (i. e., purported facts) are evaluated for veracity.

Fact Checking

Evaluation Methodologies for Code Learning Tasks

no code implementations22 Aug 2021 Pengyu Nie, Jiyang Zhang, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric

This may lead to evaluations that are inconsistent with the intended use cases of the ML models.

Emotion analysis and detection during COVID-19

no code implementations23 Jul 2021 Tiberiu Sosea, Chau Pham, Alexander Tekle, Cornelia Caragea, Junyi Jessy Li

Crises such as natural disasters, global pandemics, and social unrest continuously threaten our world and emotionally affect millions of people worldwide in distinct ways.

Domain Adaptation Emotion Recognition

Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approach

no code implementations28 Jun 2021 Barea Sinno, Bernardo Oviedo, Katherine Atwell, Malihe Alikhani, Junyi Jessy Li

Aligned with the theoretical accounts in political science, we treat ideology as a multi-dimensional construct, and introduce the first diachronic dataset of news articles whose political ideology under discussion is annotated by trained political scientists and linguists at the paragraph-level.

Paragraph-level Simplification of Medical Texts

1 code implementation NAACL 2021 Ashwin Devaraj, Iain J. Marshall, Byron C. Wallace, Junyi Jessy Li

In this work we introduce a new corpus of parallel texts in English comprising technical and lay summaries of all published evidence pertaining to different clinical topics.

Language Modelling

Did they answer? Subjective acts and intents in conversational discourse

1 code implementation NAACL 2021 Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk

Discourse signals are often implicit, leaving it up to the interpreter to draw the required inferences.

Learning to Generate Code Comments from Class Hierarchies

no code implementations24 Mar 2021 Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Raymond J. Mooney, Junyi Jessy Li, Milos Gligoric

Descriptive code comments are essential for supporting code comprehension and maintenance.

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

1 code implementation1 Mar 2021 Pengyu Nie, Karl Palmskog, Junyi Jessy Li, Milos Gligoric

Naming conventions are an important concern in large verification projects using proof assistants, such as Coq.

Elaborative Simplification: Content Addition and Explanation Generation in Text Simplification

1 code implementation Findings (ACL) 2021 Neha Srikanth, Junyi Jessy Li

Much of modern-day text simplification research focuses on sentence-level simplification, transforming original, more complex sentences into simplified versions.

Text Simplification

Inquisitive Question Generation for High Level Text Comprehension

1 code implementation EMNLP 2020 Wei-Jen Ko, Te-Yuan Chen, Yiyan Huang, Greg Durrett, Junyi Jessy Li

Inquisitive probing questions come naturally to humans in a variety of settings, but is a challenging task for automatic systems.

Question Generation Reading Comprehension

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

no code implementations4 Oct 2020 Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney

For extrinsic evaluation, we show the usefulness of our approach by combining it with a comment update model to build a more comprehensive automatic comment maintenance system which can both detect and resolve inconsistent comments based on code changes.

Learning to Format Coq Code Using Language Models

no code implementations18 Jun 2020 Pengyu Nie, Karl Palmskog, Junyi Jessy Li, Milos Gligoric

Should arguments to the rewrite tactic be separated by a single space?

An Annotated Dataset of Discourse Modes in Hindi Stories

no code implementations LREC 2020 Swapnil Dhanwal, Hritwik Dutta, Hitesh Nankani, Nilay Shrivastava, Yaman Kumar, Junyi Jessy Li, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah, Am Stent, a

In this paper, we present a new corpus consisting of sentences from Hindi short stories annotated for five different discourse modes argumentative, narrative, descriptive, dialogic and informative.

Detecting Perceived Emotions in Hurricane Disasters

1 code implementation ACL 2020 Shrey Desai, Cornelia Caragea, Junyi Jessy Li

Natural disasters (e. g., hurricanes) affect millions of people each year, causing widespread destruction in their wake.

Learning to Update Natural Language Comments Based on Code Changes

1 code implementation ACL 2020 Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney

We formulate the novel task of automatically updating an existing natural language comment based on changes in the body of code it accompanies.

Deep Generation of Coq Lemma Names Using Elaborated Terms

2 code implementations16 Apr 2020 Pengyu Nie, Karl Palmskog, Junyi Jessy Li, Milos Gligoric

Our results show that Roosterize substantially outperforms baselines for suggesting lemma names, highlighting the importance of using multi-input models and elaborated terms.

Associating Natural Language Comment and Source Code Entities

no code implementations13 Dec 2019 Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li

Comments are an integral part of software development; they are natural language descriptions associated with source code elements.

Discourse Level Factors for Sentence Deletion in Text Simplification

no code implementations23 Nov 2019 Yang Zhong, Chao Jiang, Wei Xu, Junyi Jessy Li

We inspect various document and discourse factors associated with sentence deletion, using a new manually annotated sentence alignment corpus we collected.

Text Simplification

Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis

1 code implementation IJCNLP 2019 Shrey Desai, Barea Sinno, Alex Rosenfeld, Junyi Jessy Li

Insightful findings in political science often require researchers to analyze documents of a certain subject or type, yet these documents are usually contained in large corpora that do not distinguish between pertinent and non-pertinent documents.

Text Classification Unsupervised Domain Adaptation

Plain English Summarization of Contracts

1 code implementation WS 2019 Laura Manor, Junyi Jessy Li

We propose the task of summarizing such legal documents in plain English, which would enable users to have a better understanding of the terms they are accepting.

Extractive Summarization Text Summarization

Domain Agnostic Real-Valued Specificity Prediction

1 code implementation13 Nov 2018 Wei-Jen Ko, Greg Durrett, Junyi Jessy Li

Sentence specificity quantifies the level of detail in a sentence, characterizing the organization of information in discourse.

Dialogue Generation Unsupervised Domain Adaptation

Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions

no code implementations EMNLP 2018 Eric Holgate, Isabel Cachola, Daniel Preo{\c{t}}iuc-Pietro, Junyi Jessy Li

Vulgar words are employed in language use for several different functions, ranging from expressing aggression to signaling group identity or the informality of the communication.

Hate Speech Detection

Aggregating and Predicting Sequence Labels from Crowd Annotations

1 code implementation ACL 2017 An Thanh Nguyen, Byron Wallace, Junyi Jessy Li, Ani Nenkova, Matthew Lease

Despite sequences being core to NLP, scant work has considered how to handle noisy sequence labels from multiple annotators for the same text.

Named Entity Recognition Part-Of-Speech Tagging

Improving the Annotation of Sentence Specificity

no code implementations LREC 2016 Junyi Jessy Li, Bridget O{'}Daniel, Yi Wu, Wenli Zhao, Ani Nenkova

We found that the lack of specificity distributes evenly among immediate prior context, long distance prior context and no prior context.

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