Zhang Qi, Huang Xuan-Jing, Wu Li-De. A New Method for Computing Similarity between Sentences and Application on Automatic Text Summarization [J]. Journal of Chinese Infor-mation Processing. 2005, 19(2): 93-99.(in Chinese) (張奇, 黃萱菁, 吳立德. 一種新的句子相似度度量及其在文本自動摘要中的應用[J]. 中文資訊學報, 2005, 19(2): 93-99.)

has been cited by the following article:

• TITLE: A New Method for Calculating Similarity between Sentences and Application on Automatic Abstracting

  AUTHORS: Wenqian JI, Zhoujun LI, Wenhan CHAO, Xiaoming CHEN

  KEYWORDS: sentence similarity, automatic abstracting, lexrank, sentence-weight computing, redundancy resolution

  JOURNAL NAME: Intelligent Information Management, Vol.1 No.1, July 31, 2009

  ABSTRACT: Sentence similarity computing plays an important role in machine question-answering systems, machine-translation systems, information retrieval and automatic abstracting systems. This article firstly sums up several methods for calculating similarity between sentences, and brings out a new method which takes all factors into consideration including critical words, semantic information, sentential form and sen-tence length. And on this basis, a automatic abstracting system based on LexRank algorithm is implemented. We made several improvements in both sentence weight computing and redundancy resolution. The system described in this article could deal with single or multi-document summarization both in English and Chinese. With evaluations on two corpuses, our system could produce better summaries to a certain degree. We also show that our system is quite insensitive to the noise in the data that may result from an imperfect topical clustering of documents. And in the end, existing problem and the developing trend of automatic summariza-tion technology are discussed.