Isabelle Augenstein presentations

Isabelle Augenstein

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I am a tenure-track assistant professor at the University of Copenhagen, Department of Computer Science, affiliated with the CoAStAL NLP group and work in the general areas of Statistical Natural Language Processing and Machine Learning. My main research interests are weakly supervised and low-resource learning with applications including information extraction, machine reading and fact checking. Before starting a faculty position, I was a postdoctoral research associate in Sebastian Riedel's UCL Machine Reading group, mainly investigating machine reading from scientific articles as part of a project funded by Elsevier. Prior to that, I was a Research Associate in the Sheffield NLP group...

natural language processing machine learning fact checking information extraction social media acl 2017 multi-task learning deep learning scientific publications linked data relation extraction natural language understanding explainable ai neural networks stance detection freebase computational linguistics semantic web distant supervision nlproc imitation learning knowledge base population unsupervised learning machine reading gender bias misinformation exaggeration detection fake news computational typology semi-supervised learning multi-lingual learning acl 2020 #informationextraction #ie #linkeddata #lod #seman rdf c&c discourse representation theory boxer fever workshop text classification content moderation credibility detection information retrieval ecir2022 science news science communication scholarly data emnlp acl naacl2018 twitter sentiment analysis linguistics phrase identification extractive summarization automatic summarization conll 2017 representation learning underrepresented minorities semeval 2017 underrepresented groups evaluation