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arXiv · 2109.04673

DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization

Zeqiu Wu·Bo-Ru Lu·Hannaneh Hajishirzi·Mari Ostendorf
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Abstract

Identifying relevant knowledge to be used in conversational systems that are grounded in long documents is critical to effective response generation. We introduce a knowledge identification model that leverages the document structure to provide dialogue-contextualized passage encodings and better locate knowledge relevant to the conversation. An auxiliary loss captures the history of dialogue-document connections. We demonstrate the effectiveness of our model on two document-grounded conversational datasets and provide analyses showing generalization to unseen documents and long dialogue contexts.

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Zeqiu Wu, Bo-Ru Lu, Hannaneh Hajishirzi, Mari Ostendorf. 2021-09-10. DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization. https://arxiv.org/abs/2109.04673

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