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'The First Day of Summer': Parsing Temporal Expressions with Distributed Semantics / Ben Blamey, Tom Crick, Giles Oatley
Research and Development in Intelligent Systems XXX, Pages: 389 - 402
Swansea University Author: Tom Crick
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DOI (Published version): 10.1007/978-3-319-02621-3_29
Detecting and understanding temporal expressions are key tasks in natural language processing (NLP), and are important for event detection and information retrieval. In the existing approaches, temporal semantics are typically represented as discrete ranges or specific dates, and the task is restric...
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Detecting and understanding temporal expressions are key tasks in natural language processing (NLP), and are important for event detection and information retrieval. In the existing approaches, temporal semantics are typically represented as discrete ranges or specific dates, and the task is restricted to text that conforms to this representation. We propose an alternate paradigm: that of distributed temporal semantics—where a probability density function models relative probabilities of the various interpretations. We extend SUTime, a state-of-the-art NLP system to incorporate our approach, and build definitions of new and existing temporal expressions. A worked example is used to demonstrate our approach: the estimation of the creation time of photos in online social networks (OSNs), with a brief discussion of how the proposed paradigm relates to the point- and interval-based systems of time. An interactive demonstration, along with source code and datasets, are available online.
33rd SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2013)
College of Arts and Humanities