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# Wei-Jen Ko

2 paper cards in Mova's library · 2020–2023

Wei-Jen Ko wrote 2 of the papers Mova reads, in 2020–2023, most of them on [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/), [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/); often with [Greg Durrett](https://md.mova.elamur.ai/free/en/docs/papers/authors/greg-durrett/), [Junyi Jessy Li](https://md.mova.elamur.ai/free/en/docs/papers/authors/junyi-jessy-li/), Cutter Dalton.

[OpenAlex](https://openalex.org/A5112244864) · [**h-index 8**](https://openalex.org/authors/A5112244864) · [458 citations](https://openalex.org/authors/A5112244864) · [18 works](https://openalex.org/works?filter=author.id:A5112244864) — openalex, 2026-10-18

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Wei-Jen+Ko) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Wei-Jen+Ko) · [dblp](https://dblp.org/search?q=Wei-Jen+Ko) · [ACL Anthology](https://aclanthology.org/search/?q=Wei-Jen+Ko) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Wei-Jen+Ko)

Topics: [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/) 1 · [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) 1

## Papers

1. **[Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion](https://md.mova.elamur.ai/free/en/docs/papers/ko-2023-discourse-analysis-questions-answers-parsing/)** *(2023)* The paper builds the first parser for QUD dependency structures: every sentence after the first gets an anchor sentence earlier in the document and a free-form question, raised by the anchor, that the sentence answers.
2. **[Inquisitive Question Generation for High Level Text Comprehension](https://md.mova.elamur.ai/free/en/docs/papers/ko-2020-inquisitive-question-generation-high-level/)** *(2020)* INQUISITIVE is a set of about 19K questions that crowd workers asked while reading the first five sentences of 1,500 news articles one sentence at a time, each question tied to the span it is about and checked not to be answered already by the earlier text.

## Co-authors (7)

- [Greg Durrett](https://md.mova.elamur.ai/free/en/docs/papers/authors/greg-durrett/) ×2
- [Junyi Jessy Li](https://md.mova.elamur.ai/free/en/docs/papers/authors/junyi-jessy-li/) ×2
- Cutter Dalton
- Dananjay Srinivas
- Te-yuan Chen
- [Yating Wu](https://md.mova.elamur.ai/free/en/docs/papers/authors/yating-wu/)
- Yiyan Huang
- [← previous Wanxiang Che](https://md.mova.elamur.ai/free/en/docs/papers/authors/wanxiang-che/)
- [next → Wei Xu](https://md.mova.elamur.ai/free/en/docs/papers/authors/wei-xu/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)