Survey of Query-based Text Summarization
It provides a systematic overview for researchers in natural language processing, but is incremental as it surveys existing methods without introducing new techniques.
This paper surveys existing research on query-based text summarization, which condenses text data based on user queries, and notes that much of the work has not been systematically reviewed, presenting some new taxonomies and analysis.
Query-based text summarization is an important real world problem that requires to condense the prolix text data into a summary under the guidance of the query information provided by users. The topic has been studied for a long time and there are many existing interesting research related to query-based text summarization. Yet much of the work is not systematically surveyed. This survey aims at summarizing some interesting work in query-based text summarization methods as well as related generic text summarization methods. Not all taxonomies in this paper exist the related work to the best of our knowledge and some analysis will be presented.