dhamsc

Department of Management, Society and Communication

Daniel
Hardt
Associate professor
,
ph.d.


Room: DAL/2V.024
Tel:
+4538154424
, Mobile:
+41852024
E-mail: dha.msc@cbs.dk
Presentation

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
Links
Link to this homepage
www.cbs.dk/en/staff/-dhamsc
Courses
  • 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)
Supervision

 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:
2018
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
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, 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
Ola Rønning; Daniel Hardt; Anders Søgaard / Sluice Resolution without Hand-Crafted Features over Brittle Syntax Trees
In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. . ed. /Stephanie Lukin; Margaret Mitchell. Vol. 2, New Orleans, LA : Association for Computational Linguistics 2018, p. 236–241
Article in proceedings > peer review
2017
Daniel Hardt / Internal and External Readings of Same : Evidence for a Uniform Account.
In: Proceedings of Sinn und Bedeutung 21, Edinburgh, September 4-6, 2016Edinburgh2017
Article in proceedings > peer review
Daniel Hardt; Owen Rambow / Predicting User Views in Online News
In: Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism. ed. /Octavian Popescu; Carlo Strapparava. Stroudsburg, PA : Association for Computational Linguistics 2017, p. 7-12
Article in proceedings > peer review
2016
Pranav Anand; Daniel Hardt / Antecedent Selection for Sluicing : Structure and Content.
In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. ed. /Jian Su; Kevin Duh; Xavier Carreras. Austin : Association for Computational Linguistics 2016, p. 1234-1243
Article in proceedings > peer review
Chris Zimmerman; Mari-Klara Stein; Daniel Hardt; Christian de Fries Danielsen; Ravi Vatrapu / emotionVis : Designing an Emotion Text Inference Tool for Visual Analytics.
In: Tackling Society’s Grand Challenges with Design Science: Proceedings of the 11th International Conference, DESRIST 2016. . ed. /Jeffrey Parsons; Tuure Tuunanen; John Venable; Brian Donnellan; Markus Helfert; Jim Kenneally. Chams : Springer Science+Business Media 2016, p. 238–244 (Lecture Notes in Computer Science, Vol. 9661)
Article in proceedings > peer review
More results... (total 46 results)