Nanyun Peng
Nanyun Peng wrote 2 of the papers Mova reads, in 2020–2022; often with Bingsheng Yao, Branda Sun, Dakuo Wang.
OpenAlex · ORCID · h-index 42 · 8030 citations · 351 works — openalex, 2026-10-18
Ideas Mova took (1)
- 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… · an «if» clause is irrealis for the student (PRAG_OFF=cond-irrealis): 7702/2200→7704/2206 (35db4e3f7))
Papers
- Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension (2022)
FairytaleQA is a question-answering dataset for narrative comprehension aimed at the reading level of kindergarten to eighth-grade children. - TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions (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
- Branda Sun
- Dakuo Wang
- Dan Roth
- Daniel Ritchie
- Diyi Yang
- Hao Wu
- Mark Warschauer
- Matt Gardner
- Mo Yu
- Nora Bradford
- Qiang Ning
- Rujun Han
- Toby Jia-Jun Li
- Tongshuang Wu
- Tran Bao Hoang
- Xiaojuan Ma
- Ying Xu
- Yisi Sang
- Yufang Hou
- Zheng Zhang
- Zhou Yu
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/nanyun-peng/