Paper: Predicting Clicks in a Vocabulary Learning System

ACL ID P11-3018
Title Predicting Clicks in a Vocabulary Learning System
Venue Annual Meeting of the Association of Computational Linguistics
Session Student Session
Year 2011
Authors

We consider the problem of predicting which words a student will click in a vocabulary learning system. Often a language learner will find value in the ability to look up the meaning of an unknown word while reading an electronic document by clicking the word. Highlighting words likely to be unknown to a reader is attractive due to drawing his or her at- tention to it and indicating that information is available. However, this option is usually done manually in vocabulary systems and online encyclopedias such as Wikipedia. Furthur- more, it is never on a per-user basis. This pa- per presents an automated way of highlight- ing words likely to be unknown to the specific user. We present related work in search engine ranking, a description of the study used to col- lect click data, the experi...