Lu Xiao
Lu Xiao has 3 papers in our library, in 2014–2020, most of them on Speech act theory, English; often with Robert Mercer.
OpenAlex · ORCID · Wikidata · h-index 18 · 205 works · 1,483 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 10 times in our library · ⭐ Paper Stars ranking: #5549
Affiliations
🎓Tsinghua UniversityBeijing ·
China2025 · 1 paper🎓Western UniversityLondon ·
Canada2008–2021 · 46 papersEmployment 2008–2015Employment 2015–2016🎓Syracuse UniversitySyracuse ·
United States2016–2024 · 40 papersEmployment since 2016🎓Pennsylvania State UniversityState College ·
United States2003–2013 · 21 papersEducation 2003–2008🎓Nanjing UniversityNanjing ·
China2010–2023 · 5 papers🎓Bohai UniversityJinzhou ·
China2010–2014 · 4 papers🎓Shandong University of Science and TechnologyQingdao ·
China2013–2024 · 3 papers🏛️Chinese Academy of SciencesBeijing ·
China2014 · 3 papers🔬Institute of Computing TechnologyBeijing ·
China2014 · 3 papers🏛️Guangdong Academy of Agricultural SciencesWushan ·
China2022–2023 · 2 papers
Concepts, shelves and topics
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksLiterature and Literary Theory · 1 work
🧭 Topics 2Research subjects and languages the work is about.English · 1 workSpeech act theory · 1 work
Works by year
2020s
2010s
Papers
- A Lexicon-Based Approach for Detecting Hedges in Informal Text (2020 · 15 citations)
The authors want sentence-level hedge detection in spontaneous talk rather than in scientific prose, using eight translated oral-history interviews. - Extracting Imperatives from Wikipedia Article for Deletion Discussions (2014 · 12 citations)
Wikipedia editors decide the fate of contested articles in open "Article for Deletion" (AfD) discussions, where many comments push back against other participants. - TV-AfD: An Imperative-Annotated Corpus from The Big Bang Theory and Wikipedia's Articles for Deletion Discussions (2020 · 3 citations)
The paper addresses the shortage of labeled imperative data, especially from spoken conversation, which limits how well systems such as voice assistants recognise orders and requests phrased in unexpected ways. The authors built TV-AfD, a corpus with two parts:
Co-authors here
Venues
- Language Resources and Evaluation Conference (LREC) ×2: LREC 2020 ×2
- Workshop on Argumentation Mining: Workshop on Argumentation Mining 2014
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/lu-xiao/