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

Autor:	Zeqiu Wu, Bo-Ru Lu, Hannaneh Hajishirzi, Mari Ostendorf
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	FOS: Computer and information sciences Computer Science - Computation and Language ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Computation and Language (cs.CL)
Popis:	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. EMNLP 2021 camera-ready
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fac1594fc1ee22f527618656fd44da9d http://arxiv.org/abs/2109.04673 Zobrazit plný text záznamu