We study the use of temporal information in the form of timelines to enhance multi-document summarization.
There has been a good amount of research invested into improving the temporal interpretation of text.
Barzilay et al.
To incorporate temporal information into multi-document summarization, we adopt the workflow in Figure 3, which has two key processes: 1) temporal processing, and 2) summarization.
The proposed timeline features and TIMEMMR were implemented on top of SWING, and evaluated on the test documents from TAC-2011 (Owczarzak and Dang, 2011).
We now examine the proposed 1) timeline features, 2) TIMEMMR algorithm, and 3) reliability filtering metric in greater detail to gain insight into their efficacy.
We have shown in this work how temporal information in the form of timelines can be incorporated into multi-document summarization.
See all papers in Proc. ACL 2014 that mention significant improvements.
See all papers in Proc. ACL that mention significant improvements.
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