Isabelle Augenstein
26 SlideShares 95 Followers 59 Folgens
Personal Information
Unternehmen/Arbeitsplatz
Copenhagen Area, Capital Region, Denmark Denmark
Beruf
Tenure-Track Assistant Professor at Department of Computer Science, University of Copenhagen - DIKU
Branche
Education
Webseite
isabelleaugenstein.github.io/
Info
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...
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natural language processing machine learning fact checking information extraction social media acl 2017 multi-task learning deep learning explainable ai natural language understanding scientific publications relation extraction linked data stance detection neural networks freebase computational linguistics semantic web distant supervision exaggeration detection misinformation semi-supervised learning multi-lingual learning computational typology fake news bias gender machine reading nlproc imitation learning knowledge base population unsupervised learning scholarly data science communication science news ecir2022 information retrieval credibility detection content moderation text classification fever workshop acl 2020 naacl2018 sentiment analysis linguistics representation learning semeval 2017 evaluation underrepresented groups underrepresented minorities conll 2017 automatic summarization extractive summarization phrase identification twitter acl emnlp #informationextraction #ie #linkeddata #lod #seman rdf c&c discourse representation theory boxer
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Präsentationen

(25)
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Mapping Keywords to

Vor 10 Jahren • 1690 Aufrufe

Seed Selection for Distantly Supervised Web-Based Relation Extraction

Vor 9 Jahren • 1224 Aufrufe

Natural Language Processing for the Semantic Web

Vor 9 Jahren • 4428 Aufrufe

Relation Extraction from the Web using Distant Supervision

Vor 9 Jahren • 1855 Aufrufe

Lodifier: Generating Linked Data from Unstructured Text

Vor 9 Jahren • 1511 Aufrufe

Information Extraction with Linked Data

Vor 8 Jahren • 2010 Aufrufe

Distant Supervision with Imitation Learning

Vor 8 Jahren • 2470 Aufrufe

USFD at SemEval-2016 - Stance Detection on Twitter with Autoencoders

Vor 7 Jahren • 1043 Aufrufe

Weakly Supervised Machine Reading

Vor 7 Jahren • 1506 Aufrufe

Machine Reading Using Neural Machines (talk at Microsoft Research Faculty Summit 2017)

Vor 6 Jahren • 1413 Aufrufe

1st Workshop for Women and Underrepresented Minorities (WiNLP) at ACL 2017 - opening remarks

Vor 6 Jahren • 1046 Aufrufe

1st Workshop for Women and Underrepresented Minorities (WiNLP) at ACL 2017 - discussion tables

Vor 6 Jahren • 750 Aufrufe

SemEval 2017 Task 10: ScienceIE – Extracting Keyphrases and Relations from Scientific Publications

Vor 6 Jahren • 1397 Aufrufe

Learning to read for automated fact checking

Vor 6 Jahren • 1499 Aufrufe

Learning with limited labelled data in NLP: multi-task learning and beyond

Vor 5 Jahren • 2545 Aufrufe

Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces

Vor 5 Jahren • 1339 Aufrufe

What can typological knowledge bases and language representations tell us about linguistic properties?

Vor 4 Jahren • 1352 Aufrufe

Tracking False Information Online

Vor 4 Jahren • 653 Aufrufe

Towards Explainable Fact Checking

Vor 3 Jahren • 310 Aufrufe

Explainability for NLP

Vor 3 Jahren • 296 Aufrufe

Towards Explainable Fact Checking (DIKU Business Club presentation)

Vor 3 Jahren • 331 Aufrufe

Determining the Credibility of Science Communication

Vor 2 Jahren • 244 Aufrufe

Accountable and Robust Automatic Fact Checking

Vor 2 Jahren • 690 Aufrufe

Automatically Detecting Scientific Misinformation

Vor 1 Jahr • 175 Aufrufe

Beyond Fact Checking — Modelling Information Change in Scientific Communication

Vor 1 Jahr • 725 Aufrufe

Dokumente

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Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning

Vor 8 Jahren • 1088 Aufrufe

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Tracking Typological Traits of Uralic Languages in Distributed Language Representations

Johannes Bjerva • Vor 6 Jahren

Human Neural Machine

Georgios Spithourakis • Vor 7 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Copenhagen Area, Capital Region, Denmark Denmark
Beruf
Tenure-Track Assistant Professor at Department of Computer Science, University of Copenhagen - DIKU
Branche
Education
Webseite
isabelleaugenstein.github.io/
Info
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...
Tags
natural language processing machine learning fact checking information extraction social media acl 2017 multi-task learning deep learning explainable ai natural language understanding scientific publications relation extraction linked data stance detection neural networks freebase computational linguistics semantic web distant supervision exaggeration detection misinformation semi-supervised learning multi-lingual learning computational typology fake news bias gender machine reading nlproc imitation learning knowledge base population unsupervised learning scholarly data science communication science news ecir2022 information retrieval credibility detection content moderation text classification fever workshop acl 2020 naacl2018 sentiment analysis linguistics representation learning semeval 2017 evaluation underrepresented groups underrepresented minorities conll 2017 automatic summarization extractive summarization phrase identification twitter acl emnlp #informationextraction #ie #linkeddata #lod #seman rdf c&c discourse representation theory boxer
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