Junyi Jessy Li

I am an Assistant Professor in the Linguistics Department at The University of Texas at Austin. My research interests are in computational linguistics and natural language processing, especially discourse and pragmatics, and NLP in social contexts.

I obtained my Ph.D. from the Department of Computer and Information Science at the University of Pennsylvania in 2017, advised by Prof. Ani Nenkova. I received my BSE in Computer Science from the University of Michigan and BE in Electrical and Computer Engineering from the UM-SJTU Joint Institute at Shanghai Jiao Tong University. Usually I go by Jessy.

Recent Service

• 2021: Publication Chair of SIGDIAL; Senior PC member of AAAI; PC member of EACL; standing reviewer of TACL and CL.
• 2020: Organizer of the 1st Workshop on Computational Approaches to Discourse (CODI) to be held at EMNLP; SIGDIAL board member (2019-2021) and PC member; Outstanding Senior Program Committee Award at AAAI; Senior PC member of IJCAI; Area chair for Discourse and Pragmatics at ACL and EMNLP; Area chair of Discourse, dialogue and generation at *SEM; PC member of COLING, AACL, W-NUT, NLLP.

Publications

• Inquisitive Question Generation for High Level Text Comprehension
  Wei-Jen Ko, Te-Yuan Chen, Yiyan Huang, Greg Durrett and Junyi Jessy Li
  Conference on Empirical Methods in Natural Language Processing (EMNLP), to appear 2020

• Help! Need Advice on Identifying Advice
  Venkata Subrahmanyan Govindarajan, Benjamin Chen, Rebecca Warholic, Katrin Erk and Junyi Jessy Li
  Conference on Empirical Methods in Natural Language Processing (EMNLP), to appear 2020

• Detecting Perceived Emotions in Hurricane Disasters [bib] [code and data]
  Shrey Desai, Cornelia Caragea and Junyi Jessy Li
  Association for Computational Linguistics (ACL), 2020

• Learning to Update Natural Language Comments Based on Code Changes [bib] [code and data]
  Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li and Raymond Mooney
  Association for Computational Linguistics (ACL), 2020

• An Annotated Dataset of Discourse Modes in Hindi Stories [bib] [data]
  Swapnil Dhanwal, Hritwik Dutta, Hitesh Nankani, Nilay Shrivastava, Yaman Kumar, Junyi Jessy Li, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah and Amanda Stent
  International Conference on Language Resources and Evaluation (LREC), 2020

• Deep Generation of Coq Lemma Names Using Elaborated Terms [bib, code and data]
  Pengyu Nie, Karl Palmskog, Junyi Jessy Li and Milos Gligoric
  International Joint Conference on Automated Reasoning (IJCAR), 2020

• Learning to Format Coq Code Using Language Models
  Pengyu Nie, Karl Palmskog, Junyi Jessy Li, and Milos Gligoric
  The Coq Workshop, 2020

• Discourse Level Factors for Sentence Deletion in Text Simplification
  Yang Zhong, Chao Jiang, Wei Xu and Junyi Jessy Li
  The AAAI Conference on Artificial Intelligence (AAAI), 2020

• Associating Natural Language Comment and Source Code Entities [bib, code and data]
  Sheena Panthaplackel, Milos Gligoric, Raymond Mooney and Junyi Jessy Li
  The AAAI Conference on Artificial Intelligence (AAAI), 2020

• Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis [bib] [code and data]
  Shrey Desai, Barea Sinno, Alex Rosenfeld and Junyi Jessy Li
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019

• Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification [bib]
  Hsin-Ping Huang and Junyi Jessy Li
  Conference on Computational Natural Language Learning (CoNLL), 2019

• A Framework for Writing Trigger-Action Todo Comments in Executable Format [bib] [code]
  Pengyu Nie, Rishabh Rai, Junyi Jessy Li, Sarfraz Khurshid, Raymond Mooney and Milos Gligoric
  Symposium on the Foundations of Software Engineering (FSE), 2019 (ACM SIGSOFT Distinguished Paper Award)

• Evaluating Discourse in Structured Text Representations [bib] [code]
  Elisa Ferracane, Greg Durrett, Junyi Jessy Li and Katrin Erk
  Association for Computational Linguistics (ACL), short paper, 2019

• Linguistically-Informed Specificity and Semantic Plausibility for Dialog Generation [bib] [code]
  Wei-Jen Ko, Greg Durrett and Junyi Jessy Li
  North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), 2019

• Plain English Summarization of Contracts [bib] [data]
  Laura Manor and Junyi Jessy Li
  NAACL Workshop on Natural Legal Language Processing (NLLP), 2019

• From News to Medical: Cross-domain Discourse Segmentation [bib] [code and data]
  Elisa Ferracane, Titan Page, Junyi Jessy Li and Katrin Erk
  NAACL Workshop on Rhetorical Structure Theory and Related Formalisms (DISRPT), 2019

• Domain Agnostic Real-Valued Specificity Prediction [bib] [code and data]
  Wei-Jen Ko, Greg Durrett and Junyi Jessy Li
  The AAAI Conference on Artificial Intelligence (AAAI), 2019

• Predicting and Analyzing Language Specificity in Social Media Posts [bib] [code and data]
  Yifan Gao, Yang Zhong, Daniel Preoţiuc-Pietro and Junyi Jessy Li
  The AAAI Conference on Artificial Intelligence (AAAI), 2019

• Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions [bib] [data] [video by Isabel Cachola]
  Eric Holgate, Isabel Cachola, Daniel Preoţiuc-Pietro and Junyi Jessy Li
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018

• Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media [bib] [data/code]
  Isabel Cachola, Eric Holgate, Daniel Preoţiuc-Pietro and Junyi Jessy Li
  International Conference on Computational Linguistics (COLING), 2018 (Area Chair Favorite)

• A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature [bib] [webpage]
  Benjamin Nye, Junyi Jessy Li, Roma Patel, Yinfei Yang, Iain Marshall, Ani Nenkova and Byron Wallace
  Association for Computational Linguistics (ACL), 2018

• Natural Language Processing and Program Analysis for Supporting Todo Comments as Software Evolves [bib]
  Pengyu Nie, Junyi Jessy Li, Sarfraz Khurshid, Raymond Mooney, and Milos Gligoric
  AAAI Workshop on NLP for Software Engineering (NL4SE), 2018

• Aggregating and Predicting Sequence Labels from Crowd Annotations [bib] [code] [data]
  An Thanh Nguyen, Byron Wallace, Junyi Jessy Li, Ani Nenkova, and Matthew Lease
  Association for Computational Linguistics (ACL), 2017

• Autism Quotient Scores Modulate the Perception and Production of Text Specificity in Adult Females
  Junyi Jessy Li, Julia Parish-Morris, Leila Bateman and Ani Nenkova
  International Meeting for Autism Research (IMFAR), abstract, 2017

• From Discourse Structure to Text Specificity: Studies of Coherence Preferences
  Junyi Jessy Li
  Ph.D. thesis, University of Pennsylvania, 2017

• The Role of Discourse Units in Near-Extractive Summarization [bib] [code] [data]
  Junyi Jessy Li, Kapil Thadani and Amanda Stent
  Special Interest Group on Discourse and Dialogue (SIGDIAL), 2016 (Best Paper Nominee)

• The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection [bib]
  Junyi Jessy Li and Ani Nenkova
  North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), short paper, 2016

• Improving the Annotation of Sentence Specificity [bib] [data]
  Junyi Jessy Li, Bridget O’Daniel, Yi Wu, Wenli Zhao, Ani Nenkova
  International Conference on Language Resources and Evaluation (LREC), 2016

• Estimating Text Intelligibility via Information Packaging Analysis [bib]
  Junyi Jessy Li, AAAI/SIGAI Doctoral Consortium at AAAI 2016

• Detecting Content-Heavy Sentences: A Cross-Language Case Study [bib]
  Junyi Jessy Li and Ani Nenkova
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015

• Fast and Accurate Prediction of Sentence Specificity [bib] [code]
  Junyi Jessy Li and Ani Nenkova
  The AAAI Conference on Artificial Intelligence (AAAI), 2015

• Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system [bib]
  Junyi Jessy Li, Marine Carpuat and Ani Nenkova
  International Conference on Computational Linguistics (COLING), 2014

• Assessing the Discourse Factors that Influence the Quality of Machine Translation [bib]
  Junyi Jessy Li, Marine Carpuat and Ani Nenkova
  Association for Computational Linguistics (ACL), short paper, 2014

• Addressing Class Imbalance for Improved Recognition of Implicit Discourse Relations [bib]
  Junyi Jessy Li and Ani Nenkova
  Special Interest Group on Discourse and Dialogue (SIGDIAL), 2014

• Reducing Sparsity Improves the Recognition of Implicit Discourse Relations [bib]
  Junyi Jessy Li and Ani Nenkova
  Special Interest Group on Discourse and Dialogue (SIGDIAL), 2014

Students

• Current graduate students:
  • Wei-Jen Ko (PhD, co-advised with Greg Durrett)
  • Laura Manor (PhD)
  • Venkata Govindarajan (PhD)
• Current undergraduate students:
  • Ashwin Devaraj, Computer Science.
  • Gauraang Dhamankar, Computer Science.
  • Bernardo Oviedo, Computer Science.
  • Chau Pham, CRA DREU 2020, Colgate University.
  • Alexander Tekle, Electrical and Computer Engineering.
• Former graduate students:
  • Elisa Ferracane (PhD 2020, co-advised with Katrin Erk)
  • Neha Srikanth, MS thesis 2020, Computer Science.
  • Prakhar Singh (Spring 2020), MS, Computer Science (co-advised with Matt Lease).
  • Yiran (Erin) Su (Spring 2020), MS, Electrical and Computer Engineering.
• Former undergraduate students
  • Benjamin Chen (Computer Science 2020 → Amazon).
  • Shrey Desai (Computer Science 2020, Dean’s Honored Graduate, Lala Fay & Claude DeVan Watts Endowed Presidential Scholarship, Undergraduate Research Fellowship, CRA Outstanding Undergraduate Researcher 2020 Honorable Mention → Facebook).
  • Isabel Cachola (Maths 2019, Dean’s Honored Graduate, Aspire Research Excellence Award, Undergraduate Research Fellowship → AI2 Young Investigator, PhD student at JHU)
  • Yifan Gao (Maths 2019 → masters student at JHU).
  • Rebecca Warholic (CRA DREU 2019, Smith College → graduate program at McGill)
  • Yang Zhong (Maths 2019 → PhD student at Ohio State).
  • Victor Mena (Linguistics 2018)

Teaching

• Fall 2020:
  • LIN 313: Language and Computers
  • LIN 393: Discourse Processing and Natural Language Generation
  • LIN 389C: Research in Computational Linguistics (instructor on record: Katrin Erk)
• Spring 2020:
  • LIN 373: Machine Learning Toolbox for Text Analysis
  • LIN 389C: Research in Computational Linguistics
• Fall 2019:
  • LIN 313: Language and Computers
  • LIN 393: Computational Linguistics with Minimal Supervision
  • LIN 389C: Research in Computational Linguistics (instructor on record: Katrin Erk)
• Spring 2019:
  • LIN 373: Machine Learning Toolbox for Text Analysis
  • LIN 389C: Research in Computational Linguistics
• Fall 2018:
  • LIN 313: Language and Computers
  • LIN 393S: Computational Discourse
  • LIN 389C: Research in Computational Linguistics (instructor on record: Katrin Erk)
• Spring 2018:
  • LIN 313: Language and Computers
  • LIN 389C: Research in Computational Linguistics
• Fall 2012, Fall 2013, Fall 2014:
  • CIS 430/530: Computational Linguistics (TA, University of Pennsylvania)
• Spring 2011:
  • CIS 120: Programming Languages and Techniques I (TA, University of Pennsylvania)
• Spring 2009:
  • VG 101: Introduction to Programming (TA, Shanghai Jiao Tong University)