Sebastian Schuster
Assistant Professor at University of Vienna
Vienna, Austria
Summary
🤩
Rockstar🎓
Top SchoolSebastian Schuster is an assistant professor and computational linguist with 13 years of experience bridging NLP research and cognitive science, currently building a research group at the University of Vienna while running UCL’s master's program in computational linguistics. Trained at Stanford (PhD) with an MS in Computer Science, he has led multilingual NLU, model evaluation, and human–machine interaction projects published in top ML, NLP, and cognitive venues. His background spans rigorous academic postdocs (Stanford, NYU, Saarland) and industry research (Facebook AI), plus hands-on engineering contributions to widely used tools like Stanford CoreNLP that improved dependency parsing and multiword expression handling. Equally comfortable mentoring students and shipping code, he combines experimental psycholinguistic insight with practical system-building to advance robust, human-aware language models.
13 years of coding experience
14 years of employment as a software developer
Bachelor of Science (BSc), Informatik, Bachelor of Science (BSc), Informatik at Universität WienDoctor of Philosophy (PhD), Linguistics, Doctor of Philosophy (PhD), Linguistics at Stanford University
German, French, English, Spanish
Stackoverflow
1,563reputation
39kreached
49answers
0questions
nlp
top-5%
Github Skills (13)
javas10
dependency-parsing10
nlp10
semantic-analysis10
java10
stanford-nlp6
pos-tagger6
sentiment-analysis6
twitter6
compiler-errors6
parsing6
concurrency6
multithreading6
Programming languages (8)
Github contributions (5)
stanfordnlp/CoreNLP
Feb 2014 - Apr 2021
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:300 commits, 9 pushes, 30 comments in 7 years 2 months
Contributions summary:Sebastian contributed to the implementation of new features and made various code changes within the context of the CoreNLP project. The commits focused on expanding the capabilities of the dependency parser, specifically with modifications to grammatical structures, incorporation of prepositions, and improvements to multi-word expression handling. These changes indicate a focus on enhancing the parsing accuracy and efficiency of the project.
word-embeddingssentiment-analysisnatural-language-processingstanford-nlpsuite
sebschu/proliferate-client
Aug 2020 - Oct 2021
Contributions:1 review, 32 commits, 2 PRs in 1 year 1 month
golangapicli-toolcli
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