Paper: Term Aggregation: Mining Synonymous Expressions Using Personal Stylistic Variations

ACL ID C04-1116
Title Term Aggregation: Mining Synonymous Expressions Using Personal Stylistic Variations
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2004
Authors

We present a text mining method for finding synonymous expressions based on the distribu- tional hypothesis in a set of coherent corpora. This paper proposes a new methodology to im- prove the accuracy of a term aggregation system using each author’s text as a coherent corpus. Our approach is based on the idea that one per- son tends to use one expression for one mean- ing. According to our assumption, most of the words with similar context features in each au- thor’s corpus tend not to be synonymous expres- sions. Our proposed method improves the accu- racy of our term aggregation system, showing that our approach is successful.