--- title: "Nanyun Peng — papers and cards" description: "Nanyun Peng: 2 paper cards in the Research library (2020–2022), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/nanyun-peng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nanyun-peng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nanyun Peng # Nanyun Peng 2 paper cards in the Research library · 2020–2022 Nanyun Peng wrote 2 of the papers Mova reads, in 2020–2022; often with [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/). [OpenAlex](https://openalex.org/A5030248499) · [ORCID](https://orcid.org/0000-0002-8509-6595) · [**h-index 42**](https://openalex.org/authors/A5030248499) · [7793 citations](https://openalex.org/authors/A5030248499) · [348 works](https://openalex.org/works?filter=author.id:A5030248499) — 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=Nanyun+Peng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nanyun+Peng) · [dblp](https://dblp.org/search?q=Nanyun+Peng) · [ACL Anthology](https://aclanthology.org/search/?q=Nanyun+Peng) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Nanyun+Peng) ## Ideas Mova took (1) From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave. - **kept** — Keep events in non-real modes out of «what happened» answers: negated frames (neg), conditional ones (cond) and the unrealised complements proposed in white-2016-universal-decompositional-semantics-universal-dependencies I1 do not answer «What did the lion… *([TORQUE: A Reading Comprehension Dataset of Temporal…](https://md.research.elamur.ai/free/en/papers/ning-2020-torque-reading-comprehension-dataset-temporal/) · an «if» clause is irrealis for the student (PRAG_OFF=cond-irrealis): 7702/2200→7704/2206 (35db4e3f7))* ## 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. **[TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions](https://md.research.elamur.ai/free/en/papers/ning-2020-torque-reading-comprehension-dataset-temporal/)** *(2020)* `1 idea kept` TORQUE asks temporal relations as reading-comprehension questions instead of labelling event pairs with Allen-style relations. ## Co-authors (22) - [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/) - [Dan Roth](https://md.research.elamur.ai/free/en/authors/dan-roth/) - Daniel Ritchie - [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/) - Hao Wu - Mark Warschauer - [Matt Gardner](https://md.research.elamur.ai/free/en/authors/matt-gardner/) - [Mo Yu](https://md.research.elamur.ai/free/en/authors/mo-yu/) - Nora Bradford - [Qiang Ning](https://md.research.elamur.ai/free/en/authors/qiang-ning/) - Rujun Han - [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/) - [Zhou Yu](https://md.research.elamur.ai/free/en/authors/zhou-yu/) ## More papers in the library (9) Pages of the Research library: our summary, the ideas, references and who cites each. - [METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling](https://md.research.elamur.ai/free/en/papers/li-2025-metal-multi-agent-framework-chart/) — Bingxuan Li, Yiwei Wang, Jiuxiang Gu, et al. · 2025 - [DEGREE: A Data-Efficient Generation-Based Event Extraction Model](https://md.research.elamur.ai/free/en/papers/hsu-2022-degree-data-efficient-generation-based/) — I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, et al. · 2022 - [Societal Biases in Language Generation: Progress and Challenges](https://md.research.elamur.ai/free/en/papers/sheng-2021-societal-biases-language-generation-progress/) — Emily Sheng, Kai-Wei Chang, Prem Natarajan, et al. · 2021 - [R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge](https://md.research.elamur.ai/free/en/papers/chakrabarty-2020-r-textasciicircum3-reverse-retrieve-rank/) — Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, et al. · 2020 - [Towards Controllable Biases in Language Generation](https://md.research.elamur.ai/free/en/papers/sheng-2020-controllable-biases-language-generation/) — Emily Sheng, Kai-Wei Chang, Prem Natarajan, et al. · 2020 - [The Woman Worked as a Babysitter: On Biases in Language Generation](https://md.research.elamur.ai/free/en/papers/sheng-2019-woman-worked-as-babysitter-biases/) — Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, et al. · 2019 - [Cross-Sentence N-ary Relation Extraction with Graph LSTMs](https://md.research.elamur.ai/free/en/papers/peng-2017-cross-sentence-n-ary-relation/) — Nanyun Peng, Hoifung Poon, Chris Quirk, et al. · 2017 - [Style Transfer in Text: Exploration and Evaluation](https://md.research.elamur.ai/free/en/papers/fu-2017-style-transfer-text-exploration-evaluation/) — Zhenxin Fu, Xiaoye Tan, Nanyun Peng, et al. · 2017 - [Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings](https://md.research.elamur.ai/free/en/papers/peng-2015-named-entity-recognition-chinese-social/) — Nanyun Peng, Mark Dredze · 2015