Identification and Characterization of Newsworthy Verbs in World News
| Autor: | Benjamin E. Nye, Ani Nenkova |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Identification (information)
Computer science business.industry InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Artificial intelligence Characterization (mathematics) computer.software_genre business Association (psychology) computer Natural language processing Linguistics Domain (software engineering) |
| Zdroj: | HLT-NAACL |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|