Jakob Grue Simonsen
Institutleder
- 2019
- Udgivet
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
Augenstein, Isabelle, Lioma, Christina, Wang, D., Chaves Lima, L., Hansen, C., Hansen, C. & Simonsen, Jakob Grue, 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, s. 4684-4697Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Neural check-worthiness ranking with weak supervision: Finding sentences for fact-checking
Hansen, C., Hansen, C., Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 2019, The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, s. 994-1000 7 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Neural speed reading with structural-jump-LSTM
Hansen, C., Hansen, C., Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 2019.Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
- Udgivet
Neural weakly supervised fact check-worthiness detection with contrastive sampling-based ranking loss
Hansen, C., Hansen, C., Simonsen, Jakob Grue & Lioma, Christina, 2019, I: CEUR Workshop Proceedings. 2380, 8 s.Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
- Udgivet
The fixed point property and a technique to harness double fixed point combinators
Manzonetto, G., Polonsky, A., Saurin, A. & Simonsen, Jakob Grue, 2019, I: Journal of Logic and Computation. 29, 5, s. 831-880Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Unsupervised neural generative semantic hashing
Hansen, C., Hansen, C., Simonsen, Jakob Grue, Alstrup, Stephen & Lioma, Christina, 2019, SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, s. 735-744 10 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Contextually propagated term weights for document representation
Hansen, C., Hansen, C., Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 18 jul. 2019, SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, s. 897-900 (SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2020
- Udgivet
A Complete Characterization of Infinitely Repeated Two-Player Games having Computable Strategies with no Computable Best Response under Limit-of-Means Payoff
Dargaj, J. & Simonsen, Jakob Grue, 2020, EC 2020 - Proceedings of the 21st ACM Conference on Economics and Computation. Association for Computing Machinery, s. 69-70 2 s. 3399520Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
A Diagnostic Study of Explainability Techniques for Text Classification
Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, s. 3256-3274Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Cons-free programs and complexity classes between LOGSPACE and PTIME
Jones, N. D., Bhaskar, S., Kop, C. & Simonsen, Jakob Grue, 2020, I: Electronic Proceedings in Theoretical Computer Science. 320, s. 65-79Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
ID: 12543
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Requirements for Logical Models for Value-Added Tax Legislation
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Classifying VAT Legislation for Automation
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Tutorial on Modeling VAT Rules Using OWL-DL
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