Thuy Vu

Reranking for Efficient Transformer-based Answer Selection

2020

IR-based Question Answering (QA) systems typically use a sentence selector to extract the answer from retrieved documents. Recent studies have shown that powerful neural models based on the Transformer can provide an accurate solution to …

TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection

2020

We propose TandA, an effective technique for fine-tuning pre-trained Transformer models for natural language tasks. Specifically, we first transfer a pre-trained model into a model for a general task by fine-tuning it with a large …