Identification and Characterization of Newsworthy Verbs in World News
Benjamin Nye, Ani Nenkova · 2015
We present a data-driven technique for acquiring domain-level importance of verbs from the analysis of abstract/article pairs of world news articles.We show that existing lexical resources capture some the semantic characteristics for important words in the domain.We develop a novel characterization of the association between verbs and personal story narratives, which is descriptive of verbs avoided in summaries for this domain.