Exclusive Hierarchical Decoding for Deep Keyphrase Generation

Wang Chen, Hou Pong Chan, Piji Li, Irwin King


Abstract
Keyphrase generation (KG) aims to summarize the main ideas of a document into a set of keyphrases. A new setting is recently introduced into this problem, in which, given a document, the model needs to predict a set of keyphrases and simultaneously determine the appropriate number of keyphrases to produce. Previous work in this setting employs a sequential decoding process to generate keyphrases. However, such a decoding method ignores the intrinsic hierarchical compositionality existing in the keyphrase set of a document. Moreover, previous work tends to generate duplicated keyphrases, which wastes time and computing resources. To overcome these limitations, we propose an exclusive hierarchical decoding framework that includes a hierarchical decoding process and either a soft or a hard exclusion mechanism. The hierarchical decoding process is to explicitly model the hierarchical compositionality of a keyphrase set. Both the soft and the hard exclusion mechanisms keep track of previously-predicted keyphrases within a window size to enhance the diversity of the generated keyphrases. Extensive experiments on multiple KG benchmark datasets demonstrate the effectiveness of our method to generate less duplicated and more accurate keyphrases.
Anthology ID:
2020.acl-main.103
Volume:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Month:
July
Year:
2020
Address:
Online
Editors:
Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel Tetreault
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1095–1105
Language:
URL:
https://aclanthology.org/2020.acl-main.103
DOI:
10.18653/v1/2020.acl-main.103
Bibkey:
Cite (ACL):
Wang Chen, Hou Pong Chan, Piji Li, and Irwin King. 2020. Exclusive Hierarchical Decoding for Deep Keyphrase Generation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 1095–1105, Online. Association for Computational Linguistics.
Cite (Informal):
Exclusive Hierarchical Decoding for Deep Keyphrase Generation (Chen et al., ACL 2020)
Copy Citation:
PDF:
https://preview.aclanthology.org/landing_page/2020.acl-main.103.pdf
Video:
 http://slideslive.com/38928959
Code
 Chen-Wang-CUHK/ExHiRD-DKG
Data
KP20k