Publications
-
Becker, M., Korfhage, K., Paul, D., and Frank, A. (2021):
CO-NNECT: A Framework
for Revealing Commonsense Knowledge Paths as Explicitations of Implicit
Knowledge in Texts. Proceedings of the 14th International Workshop on
Computational Semantics (IWCS), Groningen, The Netherlands (Online), pp.
21--32, Association for Computational Linguistics.
[ bib |
.pdf ]
-
Paul, D. and Frank, A. (2021):
COINS: Dynamically Generating COntextualized
Inference Rules for Narrative Story Completion. Proceedings of the
Joint Conference of the 59th Annual Meeting of the Association for
Computational Linguistics and the 11th International Joint Conference on
Natural Language Processing (ACL-IJCNLP 2021), Online, pp. 5086--5099,
Association for Computational Linguistics, long Paper.
[ bib |
http ]
-
Paul, D. and Frank, A. (2021):
Generating Hypothetical Events for Abductive
Inference. Proceedings of The Tenth Joint Conference on Lexical and
Computational Semantics (*SEM 2021), Online, vol. Long Paper, pp. 67--77,
Association of Computational Linguistics.
[ bib |
http ]
-
Becker, M., Hulpus, I., Paul, D., Opitz, J., Kobbe, J., Stuckenschmidt, H., and
Frank, A. (2020):
Explaining Arguments with Background Knowledge -- Towards
Knowledge-based Argumentation Analysis . Datenbank Spektrum (Special
Issue: Argumentation Intelligence), 20, 131--141.
[ bib |
http ]
-
Paul, D., Opitz, J., Becker, M., Kobbe, J., Hirst, G., and Frank, A. (2020):
Argumentative Relation Classification with Background Knowledge.
Proceedings of the 8th International Conference on Computational Models of
Argument (COMMA 2020), vol. 326 of Frontiers in Artificial
Intelligence and Applications, pp. 319--330, Computational Models of
Argument, *Best Student Paper Award Nomination* (3 runner-ups).
[ bib |
http ]
-
Paul, D. and Frank, A. (2020):
Social Commonsense Reasoning with Multi-Head
Knowledge Attention. In Findings of the 2020 Conference on Empirical
Methods in Natural Language Processing (EMNLP), pp. 2969--2980,
Association for Computational Linguistics.
[ bib |
http ]
-
Paul, D., Singh, M., Hedderich, M., and Klakow, D. (2019):
Handling Noisy
Labels for Robustly Learning from Self-Training Data for Low-Resource
Sequence Labeling. Proceedings of the 2019 Conference of the North
American Chapter of the Association for Computational Linguistics: Student
Research Workshop, Minneapolis, Minnesota, pp. 29--34.
[ bib |
http ]
-
Paul, D. and Frank, A. (2019):
Ranking and Selecting Multi-Hop Knowledge Paths
to Better Predict Human Needs. Proceedings of the Annual Conference of
the North American Chapter of the Association for Computational
Linguistics, Minneapolis, Minnesota, USA, vol. 1, pp. 3671--3681.
[ bib |
http ]
-
Paul, D. (2017):
Multitasking Learning With Unreliable Labels.
Master's thesis, Saarland University.
[ bib |
.pdf ]
