Affiliation:
1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, and School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
Abstract
Sentence ordering aims at restoring orders of shuffled sentences in a paragraph. Previous methods usually predict orders in a single direction, i.e., from head to tail. However, unidirectional prediction inevitably causes error accumulation, which restricts performance. In this article, we propose a bidirectional ordering method, which predicts orders in both head-to-tail and tail-to-head directions at the same time. In our bidirectional ordering method, two directions can interact with each other and help alleviate the error accumulation problem of ordering. Experiments demonstrate that our method can effectively improve performance of previous models.
Funder
National Natural Science Foundation of China
National Laboratory of Pattern Recognition
Youth Innovation Promotion Association CAS
Publisher
Association for Computing Machinery (ACM)
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