Big quantities of textual facts in our every day lives make computerized summarization a precious endeavor. Nevertheless, distinct end users could have distinct qualifications expertise and cognitive bias. Hence, it is impossible to deliver a summary that satisfies all end users.
A new research on arXiv.org proposes an interactive summarization system where by end users can select which information and facts they want to include things like.
Consumers select the duration of the summary and give feed-back in an iterative loop. They can pick or reject a thought, define the degree of importance, and give the self esteem degree. An integer linear optimization functionality maximizes user-centered content variety. Moreover, the suggested resource does not call for reference summaries for teaching. An empirical verification displays that working with users’ feed-back can help them to uncover the preferred information and facts.
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