ATAR: Aspect-Based Temporal Analog Retrieval System for Document Archives

Abstract

In recent years, we have witnessed a rapid increase of text content stored in digital archives such as newspaper archives or web archives. With the passage of time, it is however difficult to effectively perform search within such collections due to vocabulary and context change. In this paper, we present a system that helps to find analogical terms across temporal text collections by applying non-linear transformation. We implement two approaches for analog retrieval where one of them allows users to also input an aspect term specifying particular perspective of a query. The current prototype system permits temporal analog search across two different time periods based on New York Times Annotated Corpus.