Contexts in source publication

Context 1
... allow users to perform interactive classification and summarization. For interactive classification, end-users are asked to enter an input tweet, event type, and event location as shown in Figure 3. At this point, CrisICSum employs BERT2BERT which was trained on labeled datasets (Nepal Earthquake or Typhoon Hagupit). ...
Context 2
... can be easily customized to load different trained models for various event types. When all the inputs are summited, CrisICSum returns a class label for the input tweet and rationale snippets as evidence/explanation for the output label (below part in Figure 3). Users can send feedback for classification or go back to the main page. ...
Context 3
... classification results are displayed (as shown in Figure 3), users can give feedback for class labels or extracted rationales. Figure 5 illustrates an example of the feedback options: ...

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