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Simon Baker

2 accepted papers

2021

Dialogue Response Selection with Hierarchical Curriculum Learning

ACL 2021long

We study the learning of a matching model for dialogue response selection. Motivated by the recent finding that models trained with random negative samples are not ideal in real-world scenarios, we propose a hierarchical curriculum learning framework that trains the matching model in an “easy-to-dif…

2021

Few-Shot Table-to-Text Generation with Prototype Memory

EMNLP 2021finding

Neural table-to-text generation models have achieved remarkable progress on an array of tasks. However, due to the data-hungry nature of neural models, their performances strongly rely on large-scale training examples, limiting their applicability in real-world applications. To address this, we prop…