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DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.140/ 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. ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://underline.io/lecture/37881-dialki-knowledge-identification-in-conversational-systems-through-dialogue-document-contextualization
https://dx.doi.org/10.48448/h9c6-7206
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Dialogue State Tracking with a Language Model using Schema-Driven Prompting ...
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