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Extracting and Inferring Personal At...

Wang, Zhilin.

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Extracting and Inferring Personal Attributes from Dialogue.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Extracting and Inferring Personal Attributes from Dialogue./
作者:	Wang, Zhilin.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	38 p.
附註:	Source: Masters Abstracts International, Volume: 83-05.
Contained By:	Masters Abstracts International83-05.
標題:	Artificial intelligence. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28720803
ISBN:	9798492727475

Extracting and Inferring Personal Attributes from Dialogue.
Wang, Zhilin.

Extracting and Inferring Personal Attributes from Dialogue. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 38 p.

Source: Masters Abstracts International, Volume: 83-05.

Thesis (M.S.)--University of Washington, 2021.

This item must not be sold to any third party vendors.

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.

ISBN: 9798492727475Subjects--Topical Terms:

516317
Artificial intelligence.
Subjects--Index Terms:

Personal attributes

Extracting and Inferring Personal Attributes from Dialogue.
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500 $a Source: Masters Abstracts International, Volume: 83-05.
500 $a Advisor: Smith, Noah A.
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506 $a This item must not be sold to any third party vendors.
520 $a 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.
590 $a School code: 0250.
650 4 $a Artificial intelligence. $3 516317
650 4 $a Linguistics. $3 524476
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