Scholar
Natalie Schluter
Google Scholar ID: 9roj6ZEAAAAJ
Apple
Citations & Impact
Citations
585
H-index
11
i10-index
11
Publications
20
Co-authors
5
list available
Contact
Publications
Resume (English only)
Academic Achievements
- 2021: 'MassiveSumm: a very large-scale, very multilingual, newswire summarisation dataset' (EMNLP)
- 2020: 'DaNewsroom: A Large-scale Danish Summarisation Dataset' (LREC)
- 2019: 'On approximating dropout noise injection' (arXiv preprint)
- 2019: 'UniParse: A universal graph-based parsing toolkit' (NoDaLiDa)
- 2019: 'The Lacunae of Danish Natural Language Processing' (NoDaLiDa, co-authored)
- 2019: 'Recurrent models and lower bounds for projective syntactic decoding' (NAACL)
- 2018: 'The Glass Ceiling in NLP' (EMNLP)
- 2018: 'When data permutations are pathological: the case of neural natural language inference' (EMNLP, co-authored)
- 2018: 'The Word Analogy Testing Caveat' (NAACL)
- 2018: 'Baselines and test data for cross-lingual inference' (LREC, co-authored)
- 2017: 'The limits of automatic summarisation according to ROUGE' (EACL)
- 2017: 'How (not) to train a dependency parser: The curious case of jackknifing part-of-speech taggers' (ACL, co-authored)
- 2017: 'Empirically sampling Universal Dependencies' (UDW, co-authored)
- 2016: 'Approximate unsupervised summary optimisation for selectio'
Research Experience
- Currently Machine Learning Researcher at Apple in Samy Bengio's Machine Learning Research Organization
- Currently Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark
- Stepped down as Head of Programme for the Data Science BSc at IT University of Copenhagen in March 2020 (program launched in August 2017)
- Former Senior Research Scientist at Google Brain (now Google DeepMind)
- Former Chief Analyst and Lead Data Scientist at MobilePay by Danske Bank, Copenhagen
- Former Postdoctoral Researcher in Natural Language Processing at the University of Copenhagen
- Former Postdoctoral Researcher in Data Science and NLP at Malmö University, Sweden
Education
- PhD in Natural Language Processing (Computer Science), Dublin City University, Ireland
- Conducted PhD studies in Graph Algorithms at IT University of Copenhagen
- MSc in Mathematics, Trinity College, University of Dublin, Ireland
- MA in Linguistics (Semantics), Université de Montréal, Canada
- Honours BSc in Mathematics, Université de Montréal, Canada
- BA in French and Spanish, University of British Columbia, Vancouver, Canada
