Paper: Automatic Gap-fill Question Generation from Text Books

ACL ID W11-1407
Title Automatic Gap-fill Question Generation from Text Books
Venue Innovative Use of NLP for Building Educational Applications
Session
Year 2011
Authors

In this paper, we present an automatic question generation system that can generate gap-fill questions for content in a document. Gap-fill questions are fill-in-the-blank questions with multiple choices (one correct answer and three distractors) provided. The system finds the in- formative sentences from the document and generates gap-fill questions from them by first blanking keys from the sentences and then de- termining the distractors for these keys. Syn- tactic and lexical features are used in this pro- cess without relying on any external resource apart from the information in the document. We evaluated our system on two chapters of a standard biology textbook and presented the results.