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CAsT 2019: The Conversational Assistance Track Overview. In TREC 2019
Jeff Dalton, Chenyan Xiong, and Jamie Callan. 2019 · 2019
Earlier work this paper cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of NAACL 2019
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.

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Question Rewriting for Conversational Question Answering
Original
Svitlana Vakulenko, Shayne Longpre, Zhucheng Tu, and Raviteja Anantha. 2020 · 2020
Closest in time.

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2020

Few-Shot Generative Conversational Query Rewriting

Yu, Shi, Liu, Jiahua, Yang, Jingqin et al.

Understand

Conversational query rewriting aims to reformulate a concise conversational query to a fully specified, context-independent query that can be effectively handled by existing information retrieval systems.

This paper presents a few-shot generative approach to conversational query rewriting.
We develop two methods, based on rules and self-supervised learning, to generate weak supervision data using large amounts of ad hoc search sessions, and to fine-tune GPT-2 to rewrite conversational queries.
On the TREC Conversational Assistance Track, our weakly supervised GPT-2 rewriter improves the state-of-the-art ranking accuracy by 12%, only using very limited amounts of manual query rewrites.