Paper: Smart Selection

ACL ID P14-1143
Title Smart Selection
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014

Natural touch interfaces, common now in devices such as tablets and smartphones, make it cumbersome for users to select text. There is a need for a new text selec- tion paradigm that goes beyond the high acuity selection-by-mouse that we have re- lied on for decades. In this paper, we in- troduce such a paradigm, called Smart Se- lection, which aims to recover a user?s in- tended text selection from her touch input. We model the problem using an ensemble learning approach, which leverages mul- tiple linguistic analysis techniques com- bined with information from a knowledge base and a Web graph. We collect a dataset of true intended user selections and simu- lated user touches via a large-scale crowd- sourcing task, which we release to the academic community. We show that our model effecti...