Yoshitomo Matsubara — accepted AI-conference papers

2023

Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages

Shivanshu Gupta, Yoshitomo Matsubara, Ankit Chadha, Alessandro Moschitti

ACL 2023findings

While impressive performance has been achieved on the task of Answer Sentence Selection (AS2) for English, the same does not hold for languages that lack large labeled datasets. In this work, we propose Cross-Lingual Knowledge Distillation (CLKD) from a strong English AS2 teacher as a method to trai…

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2022

Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems

Yoshitomo Matsubara, Luca Soldaini, Eric Lind, Alessandro Moschitti

EMNLP 2022finding

Large transformer models can highly improve Answer Sentence Selection (AS2) tasks, but their high computational costs prevent their use in many real-world applications. In this paper, we explore the following research question: How can we make the AS2 models more accurate without significantly incre…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗