An Abstract Generation System for Social Scientific Papers
Michio Kaneko, Dongli Han · Institutional Repositories DataBase (IRDB) · 2013
Abstracts are quite useful when one is trying to understand the content of a paper, or conducting a survey with a large number of scientific documents. The situation is even clearer for the domain of social science, as most papers are very long and some of them don’t even have any abstracts at all. In this work, we narrow our attention down to the social scientific papers and try to generate their abstracts automatically. Specifically, we put weight on three points: important keywords, readability as an abstract, and features of social scientific papers. Experimental results show the effectiveness of our method, whereas some problems remain and will need to be solved in the future. 1