Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document Summarization

Jia Quanye, Liu Rui, Lin Jianying


Abstract
Manifold ranking has been successfully applied in query-oriented multi-document summariza-tion. It not only makes use of the relationships among the sentences but also the relationships between the given query and the sentences. However the information of original query is often insufficient. So we present a query expansion method which is combined in the manifold rank-ing to resolve this problem. Our method not only utilizes the information of the query term itselfand the knowledge base WordNet to expand it by synonyms but also uses the information of the document set itself to expand the query in various ways (mean expansion variance expansionand TextRank expansion). Compared with the previous query expansion methods our methodcombines multiple query expansion methods to better represent query information and at the same time it makes a useful attempt on manifold ranking. In addition we use the degree of wordoverlap and the proximity between words to calculate the similarity between sentences. We per-formed experiments on the datasets of DUC 2006 and DUC2007 and the evaluation results showthat the proposed query expansion method can significantly improve the system performance andmake our system comparable to the state-of-the-art systems.
Anthology ID:
2021.ccl-1.84
Volume:
Proceedings of the 20th Chinese National Conference on Computational Linguistics
Month:
August
Year:
2021
Address:
Huhhot, China
Editors:
Sheng Li (李生), Maosong Sun (孙茂松), Yang Liu (刘洋), Hua Wu (吴华), Kang Liu (刘康), Wanxiang Che (车万翔), Shizhu He (何世柱), Gaoqi Rao (饶高琦)
Venue:
CCL
SIG:
Publisher:
Chinese Information Processing Society of China
Note:
Pages:
940–951
Language:
English
URL:
https://aclanthology.org/2021.ccl-1.84
DOI:
Bibkey:
Cite (ACL):
Jia Quanye, Liu Rui, and Lin Jianying. 2021. Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document Summarization. In Proceedings of the 20th Chinese National Conference on Computational Linguistics, pages 940–951, Huhhot, China. Chinese Information Processing Society of China.
Cite (Informal):
Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document Summarization (Quanye et al., CCL 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.ccl-1.84.pdf
Code
 homealim2012/QE_Mani_Summary
Data
DUC 2006DUC 2007