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Oct 19, 2016 · To address the problem, we utilize active learning to improve the quality of corpora and the efficiency of manual annotation. Current active ...
While for the joint model, we incorporate active learning with structural perceptron to identify the informative and interdependent event constituents.
While for the joint model, we incorporate active learning with structural perceptron to identify the informative and interdependent event constituents.
While for the joint model, we incorporate active learning with structural perceptron to identify the informative and interdependent event constituents.
Nov 26, 2021 · In this paper, we present a novel deep AL method for EE. We propose a batch-based selection strategy and a Memory-Based Loss Prediction model (MBLP) to select ...
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Apr 27, 2016 · In this study, we proposed a novel active learning method for ontological event extraction, which is more complex than the simple PPI extraction ...
We here propose a novel committee-based active learning method that supports multi-event extraction tasks and employs a new statistical method for informativity ...
Retraining an event extraction system for a new class of events requires consider- able effort. A given type of event may ap- pear in many linguistic forms, ...
A deep learning based system capable of recognizing clinical events in Danish electronic health records is developed, proving the feasibility of a Danish ...
We show here how Active Learning (AL) plays an important role in resolving this issue and positively improve bioRE tasks, effectively overcoming the labelling ...