EMNLP 2021main33 citations
DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization
Zeqiu Wu, Bo-Ru Lu, Hannaneh Hajishirzi, Mari Ostendorf
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.
BibTeX
@inproceedings{wu-etal-2021-dialki,
title = "{DIALKI}: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization",
author = "Wu, Zeqiu and
Lu, Bo-Ru and
Hajishirzi, Hannaneh and
Ostendorf, Mari",
editor = "Moens, Marie-Francine and
Huang, Xuanjing and
Specia, Lucia and
Yih, Scott Wen-tau",
booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2021",
address = "Online and Punta Cana, Dominican Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.emnlp-main.140/",
doi = "10.18653/v1/2021.emnlp-main.140",
pages = "1852--1863"
}