Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning

Ye Liu, Sheng Zhang, Rui Song, Suo Feng, Yanghua Xiao

Abstract
Open attribute value extraction for emerging entities is an important but challenging task. A lot of previous works formulate the problem as a question-answering (QA) task. While the collections of articles from web corpus provide updated information about the emerging entities, the retrieved texts can be noisy, irrelevant, thus leading to inaccurate answers. Effectively filtering out noisy articles as well as bad answers is the key to improve extraction accuracy. Knowledge graph (KG), which contains rich, well organized information about entities, provides a good resource to address the challenge. In this work, we propose a knowledge-guided reinforcement learning (RL) framework for open attribute value extraction. Informed by relevant knowledge in KG, we trained a deep Q-network to sequentially compare extracted answers to improve extraction accuracy. The proposed framework is applicable to different information extraction system. Our experimental results show that our method outperforms the baselines by 16.5 - 27.8%.
Anthology ID:
2020.emnlp-main.693
Volume:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Month:
November
Year:
2020
Address:
Online
Editors:
Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
8595–8604
Language:
URL:
https://aclanthology.org/2020.emnlp-main.693
DOI:
10.18653/v1/2020.emnlp-main.693
Bibkey:
Cite (ACL):
Ye Liu, Sheng Zhang, Rui Song, Suo Feng, and Yanghua Xiao. 2020. Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 8595–8604, Online. Association for Computational Linguistics.
Cite (Informal):
Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning (Liu et al., EMNLP 2020)
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PDF:
https://preview.aclanthology.org/nschneid-patch-5/2020.emnlp-main.693.pdf
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 https://slideslive.com/38939117
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 yeliu0930/Knowledge-guided-Open-Attribute-Value-Extraction-with-Reinforcement-Learning
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