A Passage-Level Text Similarity Calculation

1Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Along with the explosion of web information, information flow service has attracted the attentions of users. In this kind of service, how to measure the similarity between texts and further filter the redundant information collected from multiple sources becomes the key solution to meet user’s desire. One text often mentions several events. The core event mostly decides the main content carried by the text. It should take the pivotal position. For this reason, this paper aims to construct a passage-level event connection graph to model the relations among the events mentioned by one text. The core event can be revealed and is further chosen to measure the similarity between two texts. As shown by experimental results, after measuring text similarity from a passage-level event representation perspective, our unsupervised measuring method acquires superior results than unsupervised methods by a large margin and even comparable results with some popular supervised neuron based methods.

Cite

CITATION STYLE

APA

Liu, M., Zheng, Z., Qin, B., & Liu, Y. (2020). A Passage-Level Text Similarity Calculation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12430 LNAI, pp. 207–218). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60450-9_17

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free