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Comments-Oriented Document Summarization: Understanding Documents with Readers' Feedback

Summary: Comments-Oriented Document Summarization:
Understanding Documents with Readers' Feedback
Meishan Hu, Aixin Sun, and Ee-Peng Lim
School of Computer Engineering
Nanyang Technological University, Singapore
Comments left by readers on Web documents contain valu-
able information that can be utilized in different informa-
tion retrieval tasks including document search, visualization,
and summarization. In this paper, we study the problem
of comments-oriented document summarization and aim to
summarize a Web document (e.g., a blog post) by consider-
ing not only its content, but also the comments left by its
readers. We identify three relations (namely, topic, quota-
tion, and mention) by which comments can be linked to one
another, and model the relations in three graphs. The im-
portance of each comment is then scored by: (i) graph-based
method, where the three graphs are merged into a multi-
relation graph; (ii) tensor-based method, where the three


Source: Aixin, Sun - School of Computer Engineering, Nanyang Technological University


Collections: Computer Technologies and Information Sciences