---
title: "Zhou Yu — papers and cards"
description: "Zhou Yu: 3 paper cards in the Research library (2019–2022), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/zhou-yu/"
---
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# Zhou Yu

3 paper cards in the Research library · 2019–2022

Zhou Yu wrote 3 of the papers Mova reads, in 2019–2022, most of them on [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/), [Speech act theory](https://md.research.elamur.ai/free/en/topics/speech-act-theory/), [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/); often with [Dian Yu](https://md.research.elamur.ai/free/en/authors/dian-yu/), [Bingsheng Yao](https://md.research.elamur.ai/free/en/authors/bingsheng-yao/), Branda Sun.

[OpenAlex](https://openalex.org/A5101815945) · [ORCID](https://orcid.org/0000-0002-1524-5890) · [**h-index 34**](https://openalex.org/authors/A5101815945) · [4958 citations](https://openalex.org/authors/A5101815945) · [236 works](https://openalex.org/works?filter=author.id:A5101815945) — openalex-snapshot, 2026-10-14

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=Zhou+Yu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhou+Yu) · [dblp](https://dblp.org/search?q=Zhou+Yu) · [ACL Anthology](https://aclanthology.org/search/?q=Zhou+Yu) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Zhou+Yu)

Topics: [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) 1 · [Speech act theory](https://md.research.elamur.ai/free/en/topics/speech-act-theory/) 1 · [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) 1

## Papers

1. **[Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension](https://md.research.elamur.ai/free/en/papers/xu-2022-fantastic-questions-where-find-them/)** *(2022)* FairytaleQA is a question-answering dataset for narrative comprehension aimed at the reading level of kindergarten to eighth-grade children.
2. **[MIDAS: A Dialog Act Annotation Scheme for Open Domain Human-Machine Spoken Conversations](https://md.research.elamur.ai/free/en/papers/yu-2021-midas-dialog-act-annotation-scheme/)** *(2021)* MIDAS is a dialogue act scheme for people talking to a social chatbot, built because a SWBD-DAMSL tagger reached only 47% on such talk (commands are 9% of user turns there, 0.4% in Switchboard).
3. **[Dependency Parsing for Spoken Dialog Systems](https://md.research.elamur.ai/free/en/papers/ud-2019-davidson-dependency-parsing-spoken-dialog-systems/)** *(2019)* The authors annotate 1,500 automatic-speech-recognition transcripts of users talking to an open-domain chatbot, using SCUD, an extension of UD 2.0 for spoken human-machine dialogue.

## Co-authors (19)

- [Dian Yu](https://md.research.elamur.ai/free/en/authors/dian-yu/) ×2
- [Bingsheng Yao](https://md.research.elamur.ai/free/en/authors/bingsheng-yao/)
- Branda Sun
- [Dakuo Wang](https://md.research.elamur.ai/free/en/authors/dakuo-wang/)
- Daniel Ritchie
- [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/)
- Mark Warschauer
- [Mo Yu](https://md.research.elamur.ai/free/en/authors/mo-yu/)
- [Nanyun Peng](https://md.research.elamur.ai/free/en/authors/nanyun-peng/)
- Nora Bradford
- Sam Davidson
- [Toby Jia-Jun Li](https://md.research.elamur.ai/free/en/authors/toby-jia-jun-li/)
- [Tongshuang Wu](https://md.research.elamur.ai/free/en/authors/tongshuang-wu/)
- Tran Bao Hoang
- Xiaojuan Ma
- [Ying Xu](https://md.research.elamur.ai/free/en/authors/ying-xu/)
- Yisi Sang
- [Yufang Hou](https://md.research.elamur.ai/free/en/authors/yufang-hou/)
- [Zheng Zhang](https://md.research.elamur.ai/free/en/authors/zheng-zhang/)

## More papers in the library (4)

Pages of the Research library: our summary, the ideas, references and who cites each.

- [Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback](https://md.research.elamur.ai/free/en/papers/peng-2023-check-facts-try-again-improving/) — Baolin Peng, Michel Galley, Pengcheng He, et al. · 2023
- [Towards Emotional Support Dialog Systems](https://md.research.elamur.ai/free/en/papers/liu-2021-emotional-support-dialog-systems/) — Siyang Liu, Chujie Zheng, Orianna Demasi, et al. · 2021
- [ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering](https://md.research.elamur.ai/free/en/papers/yu-2019-activitynet-qa-dataset-understanding-complex/) — Zhou Yu, Dejing Xu, Jun Yu, et al. · 2019
- [Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good](https://md.research.elamur.ai/free/en/papers/wang-2019-persuasion-good-personalized-persuasive-dialogue/) — Xuewei Wang, Weiyan Shi, Richard Kim, et al. · 2019
