🧑‍🔬 Won Ik Cho

🏛️ Affiliations

🎓Macquarie UniversitySydney · Australia2026 · 1 papercurrent🎓Seoul National UniversitySeoul · South Korea2017–2025 · 37 papers🏢SamsungSeoul · South Korea2022–2025 · 3 papers🏢Samsung Advanced Institute of TechnologySuwon-si2022–2025 · 2 papers🏢Samsung ElectronicsSeoul · South Korea2022–2025 · 2 papers🎓Tokyo Institute of TechnologyTokyo · Japan2020–2022 · 2 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.

📅 Works by year

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. On Measuring Gender Bias in Translation of Gender-neutral Pronouns (2019 · 120 citations)
   The paper tackles a gap in fairness research: there was no systematic way to check whether Korean-to-English MT systems invent a gender when translating Korean third-person pronouns that carry none.
2. HashCount at SemEval-2018 Task 3: Concatenative Featurization of Tweet and Hashtags for Irony Detection (2018 · 3 citations)
   The paper describes a SemEval-2018 Task 3 entry that detects irony in English tweets. Task A is a binary ironic/non-ironic decision. Task B sorts ironic tweets into polarity-contrast verbal irony, other verbal irony, and situational irony. The authors argue that hashtags carry much of the ironic signal but are often…

All works

4 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. On Measuring Gender Bias in Translation of Gender-neutral PronounsWorkshop on Gender Bias in Natural Language ProcessingWon Ik Cho, Ji Won Kim, Seok Min Kim, et al.2019 · 120 citations
2. Discourse Component to Sentence (DC2S): An Efficient Human-Aided Construction of Paraphrase and Sentence Similarity DatasetProceedings of the Twelfth Language Resources and Evaluation Conference · original ↗ · no summary yetWon Ik Cho et al.2020 · 10 citations
3. Extracting Arguments from Korean Question and Command: An Annotated Corpus for Structured ParaphrasingarXiv:1810.04631 · original ↗ · no summary yetWon Ik Cho et al.2018 · 5 citations
4. HashCount at SemEval-2018 Task 3: Concatenative Featurization of Tweet and Hashtags for Irony DetectionInternational Workshop on Semantic Evaluation (SemEval)Won Ik Cho, Woo Hyun Kang, Nam Soo Kim2018 · 3 citations

🤝 Co-authors here

1 co-author with a page, the most papers together first.

• Nam Soo Kim ×2

Venues

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

• Workshop on Gender Bias in Natural Language Processing: Workshop on Gender Bias in Natural Language Processing 2019
• International Workshop on Semantic Evaluation (SemEval): SemEval 2018
• Proceedings of the Twelfth Language Resources and Evaluation Conference

🔗 Cited by

Papers of our library cite their works 76 times (of the 141,840 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated 24 October 2026

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