Generating a Table-of-Contents
نویسندگان
چکیده
This paper presents a method for the automatic generation of a table-of-contents. This type of summary could serve as an effective navigation tool for accessing information in long texts, such as books. To generate a coherent table-of-contents, we need to capture both global dependencies across different titles in the table and local constraints within sections. Our algorithm effectively handles these complex dependencies by factoring the model into local and global components, and incrementally constructing the model’s output. The results of automatic evaluation and manual assessment confirm the benefits of this design: our system is consistently ranked higher than nonhierarchical baselines.
منابع مشابه
A Semi-supervised Approach for Generating a Table-of-Contents
This paper presents a semi-supervised model for generating a table-of-contents as an indicative summarization. We mainly focus on using word cluster-based information derived from a large amount of unannotated data by an unsupervised algorithm. We integrate word cluster-based features into a discriminative structured learning model, and show that our approach not only increases the quality of t...
متن کاملAbout the Journal, Author Information Pack & Table of Contents
About the Journal, Author Information Pack & Table of Contents
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