AUSS: An arabic query-based update-summarization system
| Autor: | Najwa Altwaijry, Muneera Alhoshan |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Information retrieval
General Computer Science Arabic Computer science 020206 networking & telecommunications 02 engineering and technology Automatic summarization language.human_language Task (project management) Test (assessment) Ranking (information retrieval) Similarity (psychology) 0202 electrical engineering electronic engineering information engineering language Graph (abstract data type) 020201 artificial intelligence & image processing |
| Zdroj: | Journal of King Saud University - Computer and Information Sciences. 34:3732-3743 |
| ISSN: | 1319-1578 |
| DOI: | 10.1016/j.jksuci.2020.11.027 |
| Popis: | Update summarization is a relatively recent summarization task concerned with creating a short summary from news articles, assuming the user has already read a number of previous articles. It is useful for users who want to know the latest information about a specific topic. The availability of systems that provide update summaries saves user time and effort. Unfortunately, such resources are lacking for the Arabic language. This paper aims to provide an update summarization system that generates an update summary containing the latest information requested by a user from multiple documents. This paper provides an Arabic query-based Update-Summarization System (AUSS). We use a graph-based ranking model to represent the similarity, through a combination of lexical and semantic relations between words. Our experiments show that AUSS achieves promising results, achieving a best F-Measure of 0.5405. To test AUSS, we created a new corpus especially for Arabic Update Summaries, which we call (AUS-DB). AUS-DB contains 183 articles and their corresponding reference summaries. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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