dhamsc

Department of Management, Society and Communication

Daniel
Hardt
Associate professor
,
ph.d.


Room: DH.V.2.24
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:
2021
Rahul Aralikatte; Matthew Lamm; Daniel Hardt; Anders Søgaard / Ellipsis Resolution as Question Answering : An Evaluation.
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics. ed. /Paola Merlo; Jorg Tiedemann; Reut Tsarfaty. : Association for Computational Linguistics 2021, p. 810-817
Article in proceedings > peer review
Pranav Anand; Daniel Hardt; James McCloskey / The Santa Cruz Sluicing Data Set
In: Language, Vol. 97, No. 1, 2021, p. e68-e88
Journal article > peer review
Sotiris Lamprinidis; Daniel Hardt; Federico Bianchi; Dirk Hovy / Universal Joy : A Data Set and Results for Classifying Emotions Across Languages .
In: Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis : Association for Computational Linguistics 2021, p. 62-75
Article in proceedings > peer review
2020
Daniel Hardt / Ellipsis and Identity
In: The Wiley Blackwell Companion to Semantics. ed. /Daniel Gutzmann; Lisa Matthewson; Cecile Meier; Hotze Rullmann; Thomas E. Zimmerman. Hoboken, NJ : Wiley-Blackwell 2020
Book chapter > peer review
Daniel Hardt; Fumiko Kano Glückstad / Mining Links Between Travel Motivations and Mental Representation of Destinations from Twitter Postings
In: 2020 Global Marketing Conference at Seoul Proceedings. ed. /Jeonghye Choi; Yeolim Yoon. Changwon : Global Alliance of Marketing & Management Associations 2020, p. 1025-1029
Article in proceedings > peer review
Fredrik Ahnve; Kasper Fantenberg; Gustav Svensson; Daniel Hardt / Predicting Stock Price Movements with Text Data using Labeling based on Financial Theory
In: Proceedings - 2020 IEEE International Conference on Big Data. Big Data 2020. ed. /Xintao Wu; Chris Jermaine; Li Xiong; Xiaohua Hu; Olivera Kotevska; Siyuan Lu; Weija Xu; Srinivas Aluru; Chengxiang Zhai; Eyhab Al-Masri; Zhiyuan Chen; Jeff Saltz. Los Alamos, CA : IEEE 2020, p. 4365-4372
Article in proceedings > peer review
Daniel Hardt; Line Mikkelsen / Same and Different : A Presuppositional Account.
In: NELS 50: Proceedings of the Fiftieth Annual Meeting of the North East Linguistic Society: Volume Two. . ed. /Mariam Asatryan; Yixiao Song; Ayana Whitmal. Amherst, MA : GLSA (Graduate Linguistics Student Association) 2020, p. 49-62
Article in proceedings > peer review
Daniel Hardt; Pranav Anand; James McCloskey / Sluicing: Antecedence and the Landscape of Mismatch
Paper presented at Experimental and Corpus-based Approaches to Ellipsis 2020, 2020
Paper > peer review
2019
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
More results... (total 59 results)