What drives research efforts?: find scientific claims that count!
作者： Jose Maria Gonzalez Pinto , Janus Wawrzinek , Wolf-Tilo Balke
关键词:
摘要: Researchers often struggle to solve a common problem: how does one know whether research hypothesis is worth investigating? Given the increasing number of publications, it complicated guide such decisions. Previous work has shown predicting generally emerging topics can provide some help. Yet, in specialized scientific domains, only little known about service that allows users ease identification claims investigating. Scientific here means natural language sentence expresses relationship between two entities. In particular, them affects, manipulates, or causes other entity. this paper, we propose data-driven approach aiming at filling gap and empowering query level: given results query, deliver characterization clusters discover contextualization those may be more efforts. To do so, cluster documents with share same context by leveraging co-clustering. After that, characterize annotate them. Our annotation focuses on core aspects: controversy diversity cluster. Controversy arises when semantically contradict each other; presence different semantics not but insights expressed paper. evaluate benefits our approach, performed an extensive retrospective analysis PubMed.
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