Modeling Document-level Temporal Structures for Building Temporal Dependency Graphs

• URL: http://arxiv.org/abs/2210.11787v1
• Date: Fri, 21 Oct 2022 07:45:17 GMT
• Title: Modeling Document-level Temporal Structures for Building Temporal Dependency Graphs
• Authors: Prafulla Kumar Choubey and Ruihong Huang
• Abstract summary: We propose to leverage news discourse profiling to model document-level temporal structures for building temporal dependency graphs. Our key observation is that the functional roles of sentences used for profiling news discourse signify different time frames relevant to a news story and can, therefore, help to recover the global temporal structure of a document.
• Score: 31.32005522003613
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We propose to leverage news discourse profiling to model document-level temporal structures for building temporal dependency graphs. Our key observation is that the functional roles of sentences used for profiling news discourse signify different time frames relevant to a news story and can, therefore, help to recover the global temporal structure of a document. Our analyses and experiments with the widely used knowledge distillation technique show that discourse profiling effectively identifies distant inter-sentence event and (or) time expression pairs that are temporally related and otherwise difficult to locate.

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