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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 32

Assertion-Based QA With Question-Aware Open Information Extraction

March 15, 2023

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Published Date: 2018-02-08

Registration: ISSN 2374-3468 (Online) ISSN 2159-5399 (Print)

Copyright: Published by AAAI Press, Palo Alto, California USA Copyright © 2018, Association for the Advancement of Artificial Intelligence All Rights Reserved.

Authors

Zhao Yan

Beihang University


Duyu Tang

Microsoft Research Asia


Nan Duan

Microsoft Research Asia


Shujie Liu

Microsoft Research Asia


Wendi Wang

Microsoft


Daxin Jiang

Microsoft


Ming Zhou

Microsoft Research Asia


Zhoujun Li

Beihang University


DOI:

10.1609/aaai.v32i1.12052


Abstract:

We present assertion based question answering (ABQA), an open domain question answering task that takes a question and a passage as inputs, and outputs a semi-structured assertion consisting of a subject, a predicate and a list of arguments. An assertion conveys more evidences than a short answer span in reading comprehension, and it is more concise than a tedious passage in passage-based QA. These advantages make ABQA more suitable for human-computer interaction scenarios such as voice-controlled speakers. Further progress towards improving ABQA requires richer supervised dataset and powerful models of text understanding. To remedy this, we introduce a new dataset called WebAssertions, which includes hand-annotated QA labels for 358,427 assertions in 55,960 web passages. To address ABQA, we develop both generative and extractive approaches. The backbone of our generative approach is sequence to sequence learning. In order to capture the structure of the output assertion, we introduce a hierarchical decoder that first generates the structure of the assertion and then generates the words of each field. The extractive approach is based on learning to rank. Features at different levels of granularity are designed to measure the semantic relevance between a question and an assertion. Experimental results show that our approaches have the ability to infer question-aware assertions from a passage. We further evaluate our approaches by incorporating the ABQA results as additional features in passage-based QA. Results on two datasets show that ABQA features significantly improve the accuracy on passage-based QA.

Topics: AAAI

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Zhao Yan||Duyu Tang||Nan Duan||Shujie Liu||Wendi Wang||Daxin Jiang||Ming Zhou||Zhoujun Li Assertion-Based QA With Question-Aware Open Information Extraction Proceedings of the AAAI Conference on Artificial Intelligence, 32 (2018) .

Zhao Yan||Duyu Tang||Nan Duan||Shujie Liu||Wendi Wang||Daxin Jiang||Ming Zhou||Zhoujun Li Assertion-Based QA With Question-Aware Open Information Extraction AAAI 2018, .

Zhao Yan||Duyu Tang||Nan Duan||Shujie Liu||Wendi Wang||Daxin Jiang||Ming Zhou||Zhoujun Li (2018). Assertion-Based QA With Question-Aware Open Information Extraction. Proceedings of the AAAI Conference on Artificial Intelligence, 32, .

Zhao Yan||Duyu Tang||Nan Duan||Shujie Liu||Wendi Wang||Daxin Jiang||Ming Zhou||Zhoujun Li. Assertion-Based QA With Question-Aware Open Information Extraction. Proceedings of the AAAI Conference on Artificial Intelligence, 32 2018 p..

Zhao Yan||Duyu Tang||Nan Duan||Shujie Liu||Wendi Wang||Daxin Jiang||Ming Zhou||Zhoujun Li. 2018. Assertion-Based QA With Question-Aware Open Information Extraction. "Proceedings of the AAAI Conference on Artificial Intelligence, 32". .

Zhao Yan||Duyu Tang||Nan Duan||Shujie Liu||Wendi Wang||Daxin Jiang||Ming Zhou||Zhoujun Li. (2018) "Assertion-Based QA With Question-Aware Open Information Extraction", Proceedings of the AAAI Conference on Artificial Intelligence, 32, p.

Zhao Yan||Duyu Tang||Nan Duan||Shujie Liu||Wendi Wang||Daxin Jiang||Ming Zhou||Zhoujun Li, "Assertion-Based QA With Question-Aware Open Information Extraction", AAAI, p., 2018.

Zhao Yan||Duyu Tang||Nan Duan||Shujie Liu||Wendi Wang||Daxin Jiang||Ming Zhou||Zhoujun Li. "Assertion-Based QA With Question-Aware Open Information Extraction". Proceedings of the AAAI Conference on Artificial Intelligence, 32, 2018, p..

Zhao Yan||Duyu Tang||Nan Duan||Shujie Liu||Wendi Wang||Daxin Jiang||Ming Zhou||Zhoujun Li. "Assertion-Based QA With Question-Aware Open Information Extraction". Proceedings of the AAAI Conference on Artificial Intelligence, 32, (2018): .

Zhao Yan||Duyu Tang||Nan Duan||Shujie Liu||Wendi Wang||Daxin Jiang||Ming Zhou||Zhoujun Li. Assertion-Based QA With Question-Aware Open Information Extraction. AAAI[Internet]. 2018[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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