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个人简介
My research interests are centered around three main themes in the domain of AI and language: multilingual NLP, interpretability and syntactic parsing. I find it important to develop models that work for typologically diverse languages and I find it interesting to study the interaction between language technology and typology. I find it important to go beyond building models that function as a black box and reason about what they are learning and why. I finally find syntactic parsing an exciting area because it allows exploring interesting linguistic phenomena while working on a system that is central to NLP and useful to many applications. I have combined all of these interests in my PhD where I investigated linguistically informed models of syntactic parsing for typologically diverse languages. My PhD thesis is available here. Since then, I have been working within these three areas and looked at more tasks and more languages.
研究兴趣
论文共 42 篇作者统计合作学者相似作者
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arxiv(2024)
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CoRR (2024)
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Esther Ploeger, Wessel Poelman, Andreas Holck Høeg-Petersen, Anders Schlichtkrull,Miryam de Lhoneux,Johannes Bjerva
arxiv(2024)
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Heather Lent, Kushal Tatariya,Raj Dabre,Yiyi Chen, Marcell Fekete,Esther Ploeger,Li Zhou,Ruth-Ann Armstrong, Abee Eijansantos, Catriona Malau, Hans Erik Heje, Ernests Lavrinovics,
arxiv(2023)
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WASSA@ACLpp.365-378, (2023)
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17TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EACL 2023 (2023): 83-93
International Conference on Language Resources and Evaluation (LREC)pp.6439-6449, (2022)
ICLR 2023 (2022)
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