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

• URL: http://arxiv.org/abs/2109.04673v1
• Date: Fri, 10 Sep 2021 05:40:37 GMT
• Title: DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization
• Authors: Zeqiu Wu, Bo-Ru Lu, Hannaneh Hajishirzi and Mari Ostendorf
• Abstract summary: We introduce a knowledge identification model that leverages the document structure to provide dialogue-contextualized passage encodings. We demonstrate the effectiveness of our model on two document-grounded conversational datasets.
• Score: 41.21012318918167
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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