Kensuke Kanazawa

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A lot of future-related information is available in news articles or Web pages. This information can however differ to large extent and may fluctuate over time. It is therefore difficult for users to manually compare and aggregate it, and to re-construct the most probable course of future events. In this paper we approach a problem of automatically(More)
Humans have always desired to guess the future in order to adapt their behavior and maximize chances of success. In this paper, we conduct exploratory analysis of future-related information on the web. We focus on the future-related information which is grounded in time, that is, the information on forthcoming events whose expected occurrence dates are(More)
People often want to know expected future events related to given real world entities. For supporting users in the process of future scenario analysis, we propose several methods that enable to retrieve and analyze future-related opinions from large text collections. In particular, we focus on time-unreferenced predictions, which do not contain any explicit(More)
— Future prediction is one of the crucial activities of humans. In this paper, we report the results of exploratory analysis of future-related information on the Web in three different languages: English, Japanese and Polish. We focus on the future-related information which is grounded in time, that is, the information on events whose expected occurrence(More)
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