Scholar
Siyao (Logan) Peng
Google Scholar ID: RlfQr2wAAAAJ
Postdoc, MaiNLP lab @ LMU Munich
Citations & Impact
Citations
290
H-index
12
i10-index
13
Publications
20
Co-authors
28
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published several papers including 'Agree, Disagree, Explain: Decomposing Human Label Variation in NLI through the Lens of Explanations', 'LiTEx: A Linguistic Taxonomy of Explanations for Understanding Within-Label Variation in Natural Language Inference', and participated in multiple research projects.
Research Experience
- Postdoc in the MaiNLP (Munich AI & NLP) group at LMU Munich since April 2023; completed a Ph.D. dissertation titled 'Cross-Paragraph Discourse Structure in Rhetorical Structure Theory Parsing and Treebanking for Chinese and English' at Georgetown University.
Education
- Ph.D. in Computational Linguistics, Georgetown University, 2017-2023, advised by Prof. Amir Zeldes, Prof. Nathan Schneider, and Prof. Nianwen Xue; M.S. in Computational Linguistics, Georgetown University, 2017-2020; Ph.D. student in Linguistics, SUNY - Stony Brook University, 2016-2017; M.A. in Linguistics, Leiden University, 2015-2016; B.A. in Applied Mathematics, French & Linguistics, University of California - Berkeley, 2011-2015
Background
- Research interests include corpus linguistics, computational linguistics, natural language processing, variation and explainability of language data, discourse theories, and natural language inference. Currently a postdoc in Prof. Barbara Plank's MaiNLP lab at LMU Munich, passionate about incorporating linguistic insights into NLP.
Miscellany
- Embraces the diversity of natural languages and enjoys collaborating with researchers from different research and language backgrounds.
