Work-in-Progress Poster (WIPP) Proceedings of the 22nd International Conference on Computers in Education (ICCE 2014)
巻, 号, ページ
pp. 52-54
出版年月
2014年11月
出版者
和文:
英文:
会議名称
和文:
英文:
The 22nd International Conference on Computers in Education (ICCE 2014)
開催地
和文:
英文:
Nara
アブストラクト
This paper describes our ongoing work for automatically generating multiple-choice questions for English vocabulary tests. Vocabulary-type questions consist of four components: a target word, context sentences, a correct choice and distractors. To generate such type of questions, identifying the word sense of a target word in a context is crucial to create a correct choice in the context sentences. We propose a novel Backward method that utilizes the existing search engine API to obtain context sentences for a given target word sense and further applied word sense disambiguation to confirm the retrieved context sentences. Our preliminary experiment showed that the proposed method achieved 0.951 in accuracy in collecting word sense-context pairs.