Department of Management, Society and Communication

Associate professor

Room: DH.V.2.24
, Mobile:
E-mail: dha.msc@cbs.dk

My research deals with language from a theoretical and practical point of view.  My main theoretical interests involve the formal mechanisms underlying the construction of meaning in language. This involves the interface between syntax and semantics in individual sentences, and the relations  between sentences in discourse.  This theoretical work provides the underpinning for topics of practical interest to business and society: in particular, automatic translation, sentiment analysis, and social media analytics.

Primary research areas
  • Computational linguistics
  • Theoretical linguistics
  • Artificial intelligence
  • Machine learning
  • Neural networks
Social media
Link to this homepage
  • Who Owns the Future: The Promise and Perils of the Coming Big Data Revolution. (Fully online course, HA IT)
  • Big Data Management. (Cand Merc IT)
  • AI in the Marketplace. (MSc in Business Administration and E-Business)
  • Datafication. (Big Data Minor)

 Have been Ph.D. advisor for several dissertations, especially related to computational linguistics. Also have advised many master's theses related to linguistics, big data, and machine learning.

Selected publications
  • Sotiris Lamparindis, Daniel Hardt and Dirk Hovy (to appear). Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning.  EMNLP 2018.
  • Emilio Carrizosa, Vanesa Guerrero, Daniel Hardt, Dolores Romero Morales (2018). On Building Online Visualization Maps for News Data Streams by Means of Mathematical Optimization. Big Data, Vol. 6, No. 2. pp. 139-158.
  • Daniel Hardt and Owen Rambow (2017). "Predicting User Views in Online News." Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism.  Best Paper Award.
  • Pranav Anand and Daniel Hardt (2016). Antecedent Selection in Sluicing: Structure and Content. EMNLP.
  • Daniel Hardt and Line Mikkelsen (2015). Same but Different. Linguistics and Philosophy, Vol. 38, No. 4, p. 289-314
  • Daniel Hardt (2013).  A Uniform Syntax and Discourse Structure: The Copenhagen Dependency Treebanks. Dialogue & Discourse, Vol. 4, No. 2, p. 53-64.
Publications sorted by:
Rahul Aralikatte; Matthew Lamm; Daniel Hardt; Anders Søgaard / Ellipsis and Coreference Resolution as Question Answering
Ithaca, NY : ArXiv 2019, 10 p.
Working paper
Daniel Hardt; Philip Krejler / Measuring Gender Bias with Text Data
Abstract from 5th Workshop on Leadership, Diversity and Inclusion, 2019, p. 22
Conference abstract for conference
Maxim van Oldenbeek; Till J. Winkler; Julie Buhl-Wiggers; Daniel Hardt / Nudging in Blended Learning : Evaluation of Email-based progress feedback in a Flipped-Classroom Information Systems Course.
In: ECIS 2019 ProceedingsAtlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL) 2019 (Proceedings of the European Conference on Information Systems)
Article in proceedings > peer review
Daniel Hardt; Deniz Rudin / Sluicing and Modal Mismatches
Poster session presented at Sluicing and Ellipsis at 50, 2019, 1 p.
Poster > peer review
Austin Baird; Anissa Hamza; Daniel Hardt / Classifying Sluice Occurrences in Dialogue
In: The LREC 2018 Proceedings: Eleventh International Conference on Language Resources and Evaluation. . ed. /Nicoletta Calzolari; Khalid Choukri; Christopher Cieri; Thierry Declerck; Sara Goggi; Koiti Hasida; Hitoshi Isahara; Bente Maegaard; Joseph Mariani; Hélène Mazo; Asuncion Moreno; Jan Odijk; Stelios Piperidis; Takenobu Tokunaga. Paris : European Language Resources Association 2018, p. 1580-1583
Article in proceedings > peer review
Daniel Hardt / Ellipsis in Computational Linguistics
In: The Oxford Handbook of Ellipsis. ed. /Jeroen van Craenenbroeck; Tanja Temmerman. Oxford : Oxford University Press 2018, p. 342-356
Book chapter > peer review
Ola Rønning; Daniel Hardt; Anders Søgaard / Linguistic Representations in Multi-task Neural Networks for Ellipsis Resolution
In: Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP. . ed. /Tal Linzen; Grzegorz Chrupała; Afra Alishahi. Brussels : Association for Computational Linguistics 2018, p. 66-73
Article in proceedings > peer review
Emilio Carrizosa; Vanesa Guerrero; Daniel Hardt; Dolores Romero Morales / On Building Online Visualization Maps for News Data Streams by Means of Mathematical Optimization
In: Big Data, Vol. 6, No. 2, 6.2018, p. 139-158
Journal article > peer review
Daniel Hardt; Dirk Hovy; Sotiris Lamprinidis / Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-task Learning
In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . ed. /Ellen Riloff; David Chiang; Julia Hockenmaier; Tsujii Jun’ichi. Brussels : Association for Computational Linguistics 2018, p. 659-664
Article in proceedings > peer review
Peter Alrenga; Daniel Hardt; Line Mikkelsen; Yenan Sun / Same in Arguments and Predicates
Abstract from California Universities Semantics and Pragmatics Conference. CUSP 11, 2018
Conference abstract for conference
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