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.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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
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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
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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
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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)

 

 

 

 

 

 

People

People coming soon

Name Title Phone E-mail
Anders Søgaard Professor +4535329065 E-mail
Daniel Hershcovich Assistant Professor - Tenure Track +4553338804 E-mail