Filters








4 Hits in 6.6 sec

ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION) [article]

Anandh Perumal, Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane
2020 arXiv   pre-print
In this paper, we describe our mUlti-task learNIng for cOmmonsense reasoNing (UNION) system submitted for Task C of the SemEval2020 Task 4, which is to generate a reason explaining why a given false statement  ...  the scope of commonsense reasoning.  ...  Our proposed model achieves a human evaluation score of 2.10, which ranked first on the final leader board for Task C of SemEval 2020 Task 4.  ... 
arXiv:2006.16403v1 fatcat:3brpcqjavzhzdpmfltffhaina4

ANA at SemEval-2020 Task 4: MUlti-task learNIng for cOmmonsense reasoNing (UNION)

Anandh Konar, Chenyang Huang, Amine Trabelsi, Osmar Zaiane
2020 Proceedings of the Fourteenth Workshop on Semantic Evaluation   unpublished
In this paper, we describe our mUlti-task learNIng for cOmmonsense reasoNing (UNION) system submitted for Task C of the SemEval2020 Task 4, which is to generate a reason explaining why a given false statement  ...  Our code is made publicly availabled 1 . * https://www.amii.ca/ana-automated-nursing-agent/ 1 https://github.com/anandhperumal/ANA-at-SemEval-2020-Task-4-UNION This work is licensed under a Creative Commons  ...  Our proposed model achieves a human evaluation score of 2.10, which ranked first on the final leader board for Task C of SemEval 2020 Task 4.  ... 
doi:10.18653/v1/2020.semeval-1.45 fatcat:fktjgljxz5eoph3xswcnazdn5i

ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning

Swarnadeep Saha, Prateek Yadav, Lisa Bauer, Mohit Bansal
2021 Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing   unpublished
Atomic: An atlas of machine commonsense Semantic Evaluation (SemEval-2016), pages 31–41. for if-then reasoning.  ...  Semeval-2017 task 8: Rumoureval: commonsense knowledge.  ... 
doi:10.18653/v1/2021.emnlp-main.609 fatcat:t4qgmvbf6fh67ov3xzqoawifre

Conversational agent with common-sense: Responding to nonsensical statements

Anandh Perumal Konar
2020
dynamically under the scope of commonsense reasoning.  ...  We propose UNION, a unified end-to-end framework, to generate a meaningful explanation to a given nonsensical statement that utilizes several existing commonsense datasets to allows a model to learn more  ...  Zaiane, "ANA at SemEval-2020 Task 4:mUlti-task learNIng for cOmmonsense reasoNing (UNION)", the 14th International Workshop on Semantic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2  ... 
doi:10.7939/r3-bv31-kt07 fatcat:qcootqjbwfhshpkr7a62zy7pmu