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Do Kook Choe

Do Kook Choe has 2 papers in our library, in 2014–2015, most of them on Sentiment & emotion; often with Byron C. Wallace, Eugene Charniak.

2 papers in our library · 2014–2015

OpenAlex · h-index 7 · 10 works · 373 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 100 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4106

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Brown UniversityProvidence · United States2013–2015 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Sentiment & emotion · 1 work

 Works by year

2010s

20151 paperSparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment20141 paperHumans Require Context to Infer Ironic Intent (so Computers Probably do, too)

 Papers

The most cited first (OpenAlex and our library).

  1. Humans Require Context to Infer Ironic Intent (so Computers Probably do, too) (2014 · 196 citations)
    The paper argues that verbal irony often cannot be detected from the words of an utterance alone. Detection also depends on context outside the text, such as who is speaking and what the discussion is about. To test this, the authors built the reddit irony corpus (β 1.0): 3,020 comments from six subreddits, split…
  2. Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment (2015 · 123 citations)
    Sarcasm on the web is hard to spot from wording alone, yet earlier detectors mostly relied on cues inside the text, such as word counts and grammatical signals.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Humans Require Context to Infer Ironic Intent (so Computers Probably do, too)Byron C. Wallace, Do Kook Choe, Laura Kertz, et al.Annual Meeting of the Association for Computational Linguistics (ACL) · 196 citations
  2. Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and SentimentByron C. Wallace, Do Kook Choe, Eugene CharniakAnnual Meeting of the Association for Computational Linguistics (ACL) · 123 citations
  3. Parsing Paraphrases with Joint Inference · original ↗ · no summary yet · Proceedings of the 53rd Annual Meeting of the Association for Computational…Do Kook Choe, David McClosky2015 · 14 citations

 Co-authors here

2 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 100 times (of the 141,840 papers whose bibliographies we read); 50 citing papers with a page here →.

Updated

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