acl acl2011 acl2011-248 acl2011-248-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Aaron Michelony
Abstract: 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 readeris attractive due to drawing his orher attention to it and indicating that information is available. However, this option is usually done manually in vocabulary systems and online encyclopedias such as Wikipedia. Furthurmore, it is never on a per-user basis. This paper presents an automated way of highlighting words likely to be unknown to the specific user. We present related work in search engine ranking, a description of the study used to collect click data, the experiment we performed using the random forest machine learning algorithm and finish with a discussion of future work.