Automatic Cloze Generation based on Cross-document Information Extraction
نویسندگان
چکیده
Most of the previous work on cloze prediction focused on grammar testing such as preposition generation. In this paper we explore a different problem on knowledge testing by designing a system to automatically generate blanks for cloze test. We present a cross-document Information Extraction (IE) driven approach, and compare its performance on two different tasks with and without background documents respectively. Experimental results show that compared to traditional approaches, our method can significantly save time for educators in designing high-quality cloze tests. Keywords— cloze generation, cross-document information extraction
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