Scholar
Mark Stevenson
Google Scholar ID: tXe1lgkAAAAJ
Sheffield University
Citations & Impact
Citations
2,228
H-index
24
i10-index
64
Publications
20
Co-authors
30
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - *SEM2026: The 15th Joint Conference on Lexical and Computational Semantics - General Chair
- - *SEM2025: The 14th Joint Conference on Lexical and Computational Semantics - Program Chair (with Lea Frermann)
- - EACL 2023: Senior Area Chair (Lexical Semantics)
- - EACL 2021: Area Chair (Document Analysis, Text Categorization, and Topic Models)
- - Co-chair of Data and Text Mining in Biomedical Informatics (DTMBio) 2020 (with Hyojung Paik)
- - CoNLL 2019: Area Chair
- - ACL 2019: Area Chair (Information Extraction and Text Mining track)
- - Invited speaker at the Hypothesis Generating in Genetics and Biomedical Text Mining workshop in Lancaster
- - Part of Sheffield's contribution to the Institute of Coding (Leading the Career Coach workpackage)
- - Co-chair of Data and Text Mining in Biomedical Informatics (DTMBio) 2017 (with Doheon Lee)
- - Speaking at Pint of Science 2017
- - EACL 2017: Area Chair (Document analysis including text categorization, topic models, and retrieval) (with Marie-Francine Moens)
- - #happysheffield project participant
- - Course director for the MSc in Data Analytics
- - Co-organiser of workshop on BigNLP: Big Data and Natural Language Processing (at IEEE Big Data 2016)
- - Co-organiser of workshop on Topic Models: Post-processing and Applications (at CIKM 2015)
Research Experience
- - Previously worked in various commercial and academic organizations including Reuters Ltd. (involved in the production and dissemination of RCV1), Stanford University's Center for the Study of Language and Information, and Adastral Park (British Telecom's research lab).
Background
- Senior Lecturer in the Department of Computer Science at Sheffield University, a member of the Natural Language Processing group. His research aims to develop systems that extract knowledge from text and assist users in accessing this information.
