Christian Hansen

According to our database, Christian Hansen authored at least 23 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2021

Unsupervised Multi-Index Semantic Hashing.

Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma

Proceedings of the WWW '21: The Web Conference 2021, 2021

Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering.

Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Christina Lioma

Proceedings of the WWW '21: The Web Conference 2021, 2021

Shifting Consumption towards Diverse Content on Music Streaming Platforms.

Christian Hansen, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas

Proceedings of the WSDM '21, 2021

Multi-head Self-attention with Role-Guided Masks.

Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro, Jakob Grue Simonsen, Christina Lioma

Proceedings of the Advances in Information Retrieval, 2021

Automatic Fake News Detection: Are Models Learning to Reason?

Casper Hansen, Christian Hansen, Lucas Chaves Lima

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19.

Lucas Chaves Lima, Casper Hansen, Christian Hansen, Dongsheng Wang, Maria Maistro, Birger Larsen, Jakob Grue Simonsen, Christina Lioma

CoRR, 2020

Unsupervised Semantic Hashing with Pairwise Reconstruction.

Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Content-aware Neural Hashing for Cold-start Recommendation.

Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Factuality Checking in News Headlines with Eye Tracking.

Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Birger Larsen, Stephen Alstrup, Christina Lioma

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Contextual and Sequential User Embeddings for Large-Scale Music Recommendation.

Casper Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra, Brian Brost, Federico Tomasi, Mounia Lalmas

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Fact Check-Worthiness Detection with Contrastive Ranking.

Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Christina Lioma

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2020

2019

Predicting distresses using deep learning of text segments in annual reports.

Rastin Matin, Casper Hansen, Christian Hansen, Pia Mølgaard

Expert Syst. Appl., 2019

Modelling Sequential Music Track Skips using a Multi-RNN Approach.

Christian Hansen, Casper Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma

CoRR, 2019

Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking.

Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Unsupervised Neural Generative Semantic Hashing.

Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Contextually Propagated Term Weights for Document Representation.

Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Neural Speed Reading with Structural-Jump-LSTM.

Christian Hansen, Casper Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma

Proceedings of the 7th International Conference on Learning Representations, 2019

MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims.

Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Modelling End-of-Session Actions in Educational Systems.

Christian Hansen, Casper Hansen, Stephen Alstrup, Christina Lioma

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Neural Weakly Supervised Fact Check-Worthiness Detection with Contrastive Sampling-Based Ranking Loss.

Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Christina Lioma

Proceedings of the Working Notes of CLEF 2019, 2019

2018

The Copenhagen Team Participation in the Check-Worthiness Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 CheckThat! Lab.

Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Christina Lioma

Proceedings of the Working Notes of CLEF 2018, 2018

2017

Sequence Modelling For Analysing Student Interaction with Educational Systems.

Christian Hansen, Casper Hansen, Niklas Hjuler, Stephen Alstrup, Christina Lioma

Proceedings of the 10th International Conference on Educational Data Mining, 2017

Smart City Analytics: Ensemble-Learned Prediction of Citizen Home Care.

Casper Hansen, Christian Hansen, Stephen Alstrup, Christina Lioma

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017