A Summary Sentence Decomposition Algorithm for Summarizing Strategies Identification
نویسندگان
چکیده
منابع مشابه
A Summary Sentence Decomposition Algorithm for Summarizing Strategies Identification
Expert summarizers employ a number of strategies to produce summaries. Teachers need to identify which strategies are used by students to help them improve their summary writing. However, the task is time consuming. This paper reports on our effort to develop an algorithm to identify the summarizing strategies employed by students using summary sentence decomposition. The summarizing strategies...
متن کاملAn Algorithm for Summarizing Strategies Identification
Summarizing is a process of identifying important information from a text. Experts employ several important strategies to produce good summaries. Unfortunately, students do not acquire the summarization skills. Thus, this paper proposed an algorithm to identify the summarizing strategies employed by students using summary sentence decomposition. The strategies used by experts are identified and...
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Summarizing skills have been introduced to English syllabus in secondary school in Malaysia to evaluate student’s comprehension for a given text where it requires students to employ several strategies to produce the summary. This paper reports on our effort to develop a computer-based summarization assessment system that detects the strategies used by the students in producing their summaries. ...
متن کاملAn Automated Summarization Assessment Algorithm for Identifying Summarizing Strategies
BACKGROUND Summarization is a process to select important information from a source text. Summarizing strategies are the core cognitive processes in summarization activity. Since summarization can be important as a tool to improve comprehension, it has attracted interest of teachers for teaching summary writing through direct instruction. To do this, they need to review and assess the students'...
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ژورنال
عنوان ژورنال: Computer and Information Science
سال: 2009
ISSN: 1913-8997,1913-8989
DOI: 10.5539/cis.v2n1p200