Completing Sentences

Abstract

Completing sentences is a useful feature for text entry systems. Given a set of possible sentences, we want the system to predict a missing part of the sentence. We will use the Research Sentence Completion Challenge [46]. It is a database of 1040 sentences each of which has four imposter sentences and one correct sentence. Each imposter sentence differs from the correct sentence by one word in a fixed position. The deep learning system should identify the correct word in the sentence. Imposter words have similar occurrence statistics. The sentences were selected from Sherlock Holmes novels. The imposter words were generated using a language model trained using over 500 nineteenth-century novels. Thirty alternative words for the correct word were produced. Human judges picked the four best imposter words from the 30 alternatives. The database can be downloaded from Google Drive [27].