- Anthology ID:
- 2021.paclic-1.40
- Volume:
- Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation
- Month:
- 11
- Year:
- 2021
- Address:
- Shanghai, China
- Editors:
- Kaibao Hu, Jong-Bok Kim, Chengqing Zong, Emmanuele Chersoni
- Venue:
- PACLIC
- SIG:
- Publisher:
- Association for Computational Lingustics
- Note:
- Pages:
- 373–382
- Language:
- URL:
- https://aclanthology.org/2021.paclic-1.40
- DOI:
- Cite (ACL):
- Lis Pereira, Fei Cheng, Masayuki Asahara, and Ichiro Kobayashi. 2021. ALICE++: Adversarial Training for Robust and Effective Temporal Reasoning. In Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, pages 373–382, Shanghai, China. Association for Computational Lingustics.
- Cite (Informal):
- ALICE++: Adversarial Training for Robust and Effective Temporal Reasoning (Pereira et al., PACLIC 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2021.paclic-1.40.pdf
- Data
- CosmosQA, MATRES, MC-TACO