Multilingual Meta-Distillation Alignment for Semantic Retrieval
Author:
Affiliation:
1. Microsoft & University of Southern California, Redmond, WA, USA
2. University of Southern California, Los Angeles, CA, USA
3. Adobe Research, Seattle, WA, USA
4. Adobe Research, San Jose, CA, USA
Funder
Adobe Systems
IARPA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626772.3657812
Reference44 articles.
1. Sébastien M R Arnold, Praateek Mahajan, Debajyoti Datta, Ian Bunner, and Konstantinos Saitas Zarkias. 2020. Learn2learn: a library for Meta-Learning research, (Aug. 2020). http://arxiv.org/abs/2008.12284 arXiv: 2008.12284
2. On the Cross-lingual Transferability of Monolingual Representations
3. Steven Cao, Nikita Kitaev, and Dan Klein. 2020. Multilingual alignment of contextual word representations. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020. OpenReview. net. https://openreview.net/forum?id=r1xCMyBtPS.
4. SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation
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