Highlighting Salient Sentences for Reading Assistance
| Autor: | Ágnes Sándor, Angela Vorndran |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Parsing
Process (engineering) business.industry Computer science media_common.quotation_subject computer.software_genre Linguistics language.human_language Focus (linguistics) Argumentation theory German Salient Reading (process) language Quality (business) Artificial intelligence business computer Natural language processing media_common |
| Zdroj: | Assessing Quality in European Educational Research ISBN: 9783658059682 |
| DOI: | 10.1007/978-3-658-05969-9_4 |
| Popis: | The traditional process of the intrinsic evaluation of the quality of scholarly publications is peer reviewing. This is a time-consuming activity. In order to facilitate and speed up peer reviewing processes we have developed an exploratory natural language processing system implemented within the Xerox Incremental Parser for English, French, German and Swedish. The system highlights sentences that convey the most important threads of the article’s content in order to focus the reviewer’s attention on the design of the argumentation in the article. We have tested the results in several experimental settings. |
| Databáze: | OpenAIRE |
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