Wei-Jen Ko
Wei-Jen Ko wrote 2 of the papers Mova reads, in 2020–2023, most of them on Discourse analysis, Dependency parsing; often with Greg Durrett, Junyi Jessy Li, Cutter Dalton.
OpenAlex · h-index 8 · 458 citations · 18 works — openalex, 2026-10-18
Topics: Discourse analysis 1 · Dependency parsing 1
Papers
- Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion (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. - Inquisitive Question Generation for High Level Text Comprehension (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 ×2
- Junyi Jessy Li ×2
- Cutter Dalton
- Dananjay Srinivas
- Te-yuan Chen
- Yating Wu
- Yiyan Huang
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/wei-jen-ko/