Dongyeop Kang I obtained my Ph.D. in the Language Technologies Institute of the School of Computer Science at Carnegie Mellon University, working with my fantastic advisor, Eduard Hovy. I interned at Facebook AI, Allen Institute for AI (AI2), and Microsoft Research. My Ph.D. study has been supported by Allen Institute for AI (AI2) Fellowship, CMU Presidential Fellowship, and ILJU Graduate Fellowship. This homepage is no longer maintained after my graduation. Please visit my new homepage.

Publication

• Linguistically Informed Language Generation: A Multifaceted Approach
  Dongyeop Kang
  Committee: Eduard Hovy, Jeffrey Bigham, Alan W Black, Jason Weston, Dan Jurafsky
  Ph.D thesis [bib]
  

  
  

• Posterior Calibrated Training on Sentence Classification Tasks
  Taehee Jung, Dongyeop Kang, Hua Cheng, Lucas Mentch and Thomas Schaaf
  ACL 2020 [pdf | arxiv | code | bib]

  
  

• xSLUE: A Benchmark and Analysis Platform for Cross-Style Language Understanding and Evaluation
  Dongyeop Kang and Eduard Hovy
  [pdf | arxiv | data+leaderboard | code | bib]
  

  
  

• Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
  Taehee Jung*, Dongyeop Kang*, Lucas Mentch and Eduard Hovy (*equal contribution)
  EMNLP 2019 (Long) [pdf | arxiv | data+leaderboard | code | bib]

  
  

• Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue
  Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul Crook, Y-Lan Boureau and Jason Weston
  EMNLP 2019 (Long) [pdf| arxiv | [data] | bib]

  
  

• (Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas
  Dongyeop Kang, Varun Gangal and Eduard Hovy
  EMNLP 2019 (Long, Oral) [pdf| arxiv | data+code | slides | bib]

  
  

• Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs
  Dongyeop Kang, Hiroaki Hayashi, Alan W Black, and Eduard Hovy
  EMNLP 2019 (Short) [pdf | arxiv | code | bib]

  
  

• Bridging Knowledge Gaps in Neural Entailment via Symbolic Models
  Dongyeop Kang, Tushar Khot, Ashish Sabharwal and Peter Clark
  EMNLP 2018 (Short) [pdf | arxiv | code | bib]

  
  

• AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
  Dongyeop Kang, Tushar Khot, Ashish Sabharwal and Eduard Hovy
  ACL 2018 (Long) [pdf | arxiv | code | bib]

  
  

• A Dataset of Peer Reviews (PeerReaD): Collection, Insights and NLP Applications
  Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard Hovy, Roy Schwartz
  NAACL 2018 (Long) [pdf | arxiv | data+code | bib]

  
  

• Actionable email intent modeling with reparametrized RNN
  Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Madian Khabsa, Ahmed Hassan Awadallah, Patrick Pantel
  AAAI 2018 (Long) [pdf | arxiv | bib]

  
  

• Detecting and Explaining Causes From Text For a Time Series Event
  Dongyeop Kang, Varun Gangal, Ang Lu, Zheng Chen, Eduard Hovy
  EMNLP 2017 (Long) [pdf | arxiv | dataset | bib]