基本信息
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职业迁徙
个人简介
Research interests
My main research interest is making (neural) language models more interpretable by building applications that democratize access to explanations. Topics of interest are rationale generation, data-centric interpretability, information-seeking dialogue, and evaluation measures for generated text.
Expertise
Resources and Evaluation 2022 – Present
Dialogue and Interactive Systems 2021 – Present
NLP Applications 2021 – Present
Natural Language Generation 2020 – Present
Interpretability and Analysis of Models for NLP 2020 – Present
Machine Learning for NLP 2020 – Present
My main research interest is making (neural) language models more interpretable by building applications that democratize access to explanations. Topics of interest are rationale generation, data-centric interpretability, information-seeking dialogue, and evaluation measures for generated text.
Expertise
Resources and Evaluation 2022 – Present
Dialogue and Interactive Systems 2021 – Present
NLP Applications 2021 – Present
Natural Language Generation 2020 – Present
Interpretability and Analysis of Models for NLP 2020 – Present
Machine Learning for NLP 2020 – Present
研究兴趣
论文共 16 篇作者统计合作学者相似作者
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arxiv(2022)
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Nils Feldhus,Leonhard Hennig, Maximilian Dustin Nasert, Christopher Ebert,Robert Schwarzenberg,Sebastian Möller
arxiv(2022)
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SIGdial Meetings (SIGDIAL)pp.135-145, (2022)
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International Conference on Language Resources and Evaluation (LREC)pp.2317-2326, (2022)
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Hadi Asghari, Nadine Birner,Aljoscha Burchardt, Daniela Dicks,Judith Faßbender,Nils Feldhus,Freya Hewett, Vincent Hofmann, Matthias C. Kettemann, Wolfgang A. Schulz,Judith Simon, Jakob Stolberg-Larsen,
Zenodo (CERN European Organization for Nuclear Research) (2022)
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Nils Feldhus,Leonhard Hennig, Maximilian Dustin Nasert, Christopher Ebert,Robert Schwarzenberg,Sebastian Möller
arXiv (Cornell University) (2022)
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