2008/07/10 by Vahed Qazvinian, Qazvinian, Vahed, Dragomir R. Radev +1 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #G.2.2 #H.3.1 #H.3.3 #I.2.7 #Information Retrieval (cs.IR) #cs.CL #cs.IR
paper · pdf · doi:10.48550/arxiv.0807.1560
arxiv created 2008/07/10 · arxiv updated 2009/12/01
Quickly moving to a new area of research is painful for researchers due to the vast amount of scientific literature in each field of study. One possible way to overcome this problem is to summarize a scientific topic. In this paper, we propose a model of summarizing a single article, which can be further used to summarize an entire topic. Our model is based on analyzing others' viewpoint of the target article's contributions and the study of its citation summary network using a clustering approach.