Relevance Detection And Summarizing Strategies Identification Using Linguistic Measures

Asad Abdi, Norisma Idris

Research output: Contribution to conferencePosterAcademic

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Summarization is a process to select important information from a source text. Summarizing strategies are the core of the cognitive processes involved in the summarization activity. Summarizing strategies include a set of conscious tasks that are used to determine important information and extract the main idea of a source text. In today’s computerized world, teachers are still required to assess students’ written summaries manually. This is a very time-consuming task that reduces the amount of time teachers can devote to other duties. In order to reduce the amount of time they have to spend on assessment of these summaries, many teachers have chosen to reduce the number of summaries given to their students. However, insufficient teaching and learning instructions lead to improper use of summarizing strategies during the process of writing summaries. The project is intended to eventually offer teachers an intelligent tool to identify students’ strategies in summary writing and provide students with self-learning tool to hone their skills in summarizing.
In this research project, we develop a new algorithm. It simulates two important tasks that are frequently used by the human experts to identify summarizing strategies used to produce the summary sentences: 1) sentences relevance identification; and 2) summarizing strategies identification. An innovative aspect of our algorithm lies in its ability to identify summarizing strategies at the syntactic and semantic levels.
Original languageEnglish
Number of pages2
Publication statusPublished - 2015
Externally publishedYes
EventNational Invention, Innovation, Research & Design, NIIDR 2015 - Universiti Teknologi MARA, Shah Alem, Selangor, Malaysia
Duration: 23 Nov 201523 Nov 2015


ConferenceNational Invention, Innovation, Research & Design, NIIDR 2015
Abbreviated titleNIIDR
CityShah Alem, Selangor


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