Omnia Mutantur, Nihil Interit: Connecting Past with Present by Finding Corresponding Terms across Time
Omnia Mutantur, Nihil Interit: Connecting Past with Present by Finding Corresponding Terms across Time
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DOI：
10.3115/v1/p15-1063
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发表时间：
2015-07
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影响因子：
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通讯作者：
Yating Zhang;A. Jatowt;S. Bhowmick;Katsumi Tanaka
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文献类型：
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作者：
Yating Zhang;A. Jatowt;S. Bhowmick;Katsumi Tanaka
在当今快节奏的世界中，人们往往对过去的事情了解有限。例如，一些年轻的用户可能不知道Walkman播放类似功能的iPod现在。在本文中，我们探讨了时间对应问题，其中，给定一个输入项（例如，iPod）和目标时间（例如，20世纪80年代），任务是找到目标时间中存在的查询的对应物。我们提出了一种基于神经网络表示的跨时间转换单词上下文的方法。然后，我们实验证明我们的方法的有效性上的纽约注释语料库。
In the current fast-paced world, people tend to possess limited knowledge about things from the past. For example, some young users may not know that Walkman played similar function as iPod does nowadays. In this paper, we approach the temporal correspondence problem in which, given an input term (e.g., iPod) and the target time (e.g. 1980s), the task is to find the counterpart of the query that existed in the target time. We propose an approach that transforms word contexts across time based on their neural network representations. We then experimentally demonstrate the effectiveness of our method on the New York Times Annotated Corpus.