Paper: Automatic Extraction of Briefing Templates

ACL ID I08-1035
Title Automatic Extraction of Briefing Templates
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2008

An approach to solving the problem of au- tomatic briefing generation from non-textual events can be segmenting the task into two major steps, namely, extraction of briefing templates and learning aggregators that col- late information from events and automati- cally fill up the templates. In this paper, we describe two novel unsupervised approaches for extracting briefing templates from hu- man written reports. Since the problem is non-standard, we define our own criteria for evaluating the approaches and demonstrate that both approaches are effective in extract- ing domain relevant templates with promis- ing accuracies.