Extracting and Inferring Personal Attributes from Dialogue

• URL: http://arxiv.org/abs/2109.12702v1
• Date: Sun, 26 Sep 2021 20:51:00 GMT
• Title: Extracting and Inferring Personal Attributes from Dialogue
• Authors: Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia
• Abstract summary: We introduce the tasks of extracting and inferring personal attributes from human-human dialogue. We first demonstrate the benefit of incorporating personal attributes in a social chit-chat dialogue model. We then analyze the linguistic demands of these tasks.
• Score: 15.420778940550381
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Personal attributes represent structured information about a person, such as their hobbies, pets, family, likes and dislikes. In this work, we introduce the tasks of extracting and inferring personal attributes from human-human dialogue. We first demonstrate the benefit of incorporating personal attributes in a social chit-chat dialogue model and task-oriented dialogue setting. Thus motivated, we propose the tasks of personal attribute extraction and inference, and then analyze the linguistic demands of these tasks. To meet these challenges, we introduce a simple and extensible model that combines an autoregressive language model utilizing constrained attribute generation with a discriminative reranker. Our model outperforms strong baselines on extracting personal attributes as well as inferring personal attributes that are not contained verbatim in utterances and instead requires commonsense reasoning and lexical inferences, which occur frequently in everyday conversation.

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