基本信息
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职业迁徙
个人简介
Gerold Schneider is Titulary Professor in Computational Linguistics (CL). His doctoral degree is on large-scale dependency parsing, his habilitation on using computational models for corpus linguistics. His research interests include corpus linguistics, cognitive linguistics, statistical approaches, Digital Humanities, learner language, text mining, automated content analysis and language modeling. He has published over 130 articles on these topics, including a book on statistics for linguists (https://dlf.uzh.ch/openbooks/statisticsforlinguists/).
He leads the NLP group in LiRI, a University platform which offers services in text processing, Digital Humanities, Content Analysis and further NLP methods:
https://liri.linguistik.uzh.ch/wiki/langtech/nlp
His Google scholar page is:
https://scholar.google.com/citations?user=l_8L7NYAAAAJ
His CL Homepage is:
https://www.cl.uzh.ch/de/people/team/compling/gschneid.html
He also works with NLP methods and hate speech detection in the URPP Digital Religion(s):
https://www.digitalreligions.uzh.ch/de/research/externaldynamics/p8_argument_mining_detection_of_extremism_intolerance.html
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As doctoral thesis, I have written a robust, large-scale syntactic Dependency parser, which I have applied since to many tasks in Text Mining and Corpus Linguistics. My cumulative habilitation is on using computational linguistics methods for descriptive linguistics, text mining and psycholinguistics. It combines English corpus linguistics, computational linguistics and cognitive models. I have been Substituting Professor at the linguistics department of the University of Konstanz from 2015- 2017, and at TU Dortmund in 2017/18.
I was a collaborator in the IMPRESSO project, have been project leader in two projects which investigate language, opinions, stance, protest, frames and events in media texts, in collaboration with political science: NCCR democracy module 1:6 and POLCON. In all of these projects, I use and develop automated media content analysis and Digital Humanities approaches. I have also been involved in several projects in Biomedical Text Mining. I also apply Text Mining to social media texts on a wide range of political, social, historical and religious questions.
研究兴趣
论文共 174 篇作者统计合作学者相似作者
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crossref(2024)
NAACL-HLTpp.4405-4424, (2024)
Simona Emilova Doneva, Sijing Qin,Beate Sick,Tilia Ellendorff, Jean-Philippe Goldman,Gerold Schneider,Benjamin Victor Ineichen
biorxiv(2024)
arXiv (Cornell University) (2023)
Studies in corpus linguisticspp.336-372, (2023)
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International journal of corpus linguisticsno. 3 (2023): 378-406
LINGUISTICS VANGUARD (2023): 247-255
G. Schneider, M. Reveilhac
Swiss Papers in English Language and Literatureno. 41 (2023): 119-153
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作者统计
#Papers: 174
#Citation: 3348
H-Index: 27
G-Index: 47
Sociability: 6
Diversity: 2
Activity: 7
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