Core Natural Language Processing

We research core tasks in natural language understanding, including meaning representations for linguistically general and cross-lingual natural language processing, parsing and transfer learning.

 

BrainDrugs (2019-2024)
Lundbeck Foundation
Led by Gitte Moes Knudsen

LEGALESE (2020-2023)
Innovation Fund Denmark (Grand Solutions)
Led by Anders Søgaard

PIN (2020-2023)
Innovation Fund Denmark (Grand Solutions)
Led by Anders Søgaard

AutoAI4CS (2020-2022)
Innovation Fund Denmark (Grand Solutions)
Led by Anders Søgaard

NLP-DK (2021-2024)
Innovation Fund Denmark (Industrial PhD)
Led by Anders Søgaard

MGR (2021-2026)
Novo Nordisk Foundation
Led by Anders Søgaard

 

 

Learning Multilingual Natural Language Understanding from Transfer & Reinforcement Learning (2018-2022)  

Google Focused Research Award 

Led by Anders Søgaard 

 

Automated Writing Assistant with Artificial Intelligence (2018-2021)  

Innovation Fund Denmark (Industrial PhD) 

Led by Anders Søgaard 

 

Automating property valuation and customer support (2018-2021)

Innovation Fund Denmark (Industrial PhD) 

Led by Anders Søgaard 

 

Reading Strategy Informed Text Simplification (2018-2021)  

Facebook Faculty Award 

Led by Anders Søgaard 

 

MorphIRE (2019-2021)  

ERC Marie Curie Individual Scholarship 

Led by Marcel Bollmann 

 

Building Emotionally Intelligent Dialogue Systems (2018-2021)  

BotXO Research Award 

 

Advanced Machine Learning for Automated Omni-Channel Support (2018-2020)  

Grand Solutions grant from Innovation Fund Denmark

 

Multilingual semantic parsing from grounding in Wikidata (2019-2020) 

Postdoctoral Excellence Fellowship from the Israeli Council for Higher Education Planning & Budgeting Committee 

Led by Daniel Hershcovich

 

NLPL: Nordic Language Processing Laboratory (2017-19)

Infrastructure grant from NeIC

Led by Bjørn Lindi

More information

 

Paper-based paper search (2018)

AI2 Faculty Award

Led by Anders Søgaard

 

Digital Disinformation (2016-18)

Research grant from the Carlsberg Foundation

Led by Rebecca Adler-Nissen

 

Interactive text simplification for dyslexics (2015-18)

Research project supported by Trygfonden

Led by Anders Søgaard

 

From dogma to data (2015-18)

Research project supported by the Danish Research Council

Led by Anders Søgaard with Henrik Palmer Olsen, iCourts, Faculty of Law, University of Copenhagen

 

Uncertain archives (2015-18)

Research project supported by the Danish Research Council

Led by Kristin Veel

More information

 

Interactive text simplification for dyslexics (2015-18)

Research project supported by Trygfonden

Led by Anders Søgaard

 

From a thesaurus to a Danish FrameNet (2016-17)

Infrastructure grant from the Carlsberg Foundation

Led by Anders Søgaard

 

Semantic processing across domains (2014-17)

Research project supported by the Danish Research Council

Led jointly with Bolette S. Pedersen

More information (in Danish)

 

LOWLANDS: Parsing low-resource languages and domains (2013-17)

Research project (ERC Starting Grant) supported by the European Research Council

Led by Anders Søgaard

 

Finding Waldo in a haystack of informal writing styles (2016-17)

Research grant from the Data Transparency Lab

Led by Anders Søgaard

 

RELIP: Reading between the lines (2016)

Seed money, Patient At Home

Led by Anders Søgaard

More information (in Danish)

 

 

 

 

 

 

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