Decision Making from Mining the Comparable Entities

Abstract-- Comparing entities is an important part of decision making. Several approaches have been reported for mining comparable entities from Web sources to improve user experience in comparing entities online. However, these efforts extract only entities explicitly compared in the corpora, and may exclude entities that occur less-frequently but potentially comparable. The prerequisite step of this task is to find comparable entities. In this paper, we propose a novel Bootstrapping algorithm to address the task by mining comparable entities from comparative questions in a collection of questions (e.g., that users posted on-line). For example, a weakly-supervised bootstrapping method can be used to identify comparative questions, comparative patterns, and extract comparable entities. The comparable entities can be used to help users make alternate decisions by comparing relevant mining entities, instead of providing merely recommendation, as is currently provided. By using bootstrapping technique entities has to be extracted with a specific relation. However, our task is different from the previous one that it requires not only extracting entities but also ensuring that the entities are extracted from comparative questions (comparative question identification), which is generally not required in information extraction task. Finally, the ranking is provided based on the user’s perspective for entities listed. Experimental results demonstrate that our proposed framework can outperform the baseline systems