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Found 6 papers, 1 papers with code
Event Causality Identification via Derivative Prompt Joint Learning
This paper studies event causality identification, which aims at predicting the causality relation for a pair of events in a sentence.
Active Learning for Event Extraction with Memory-based Loss Prediction Model
During the selection process, we use an internal-external sample loss ranking method to evaluate the sample importance by using local information.
Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model
The ability to generate natural-language questions with controlled complexity levels is highly desirable as it further expands the applicability of question generation.
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection
Event detection (ED) aims at detecting event trigger words in sentences and classifying them into specific event types.
Hierarchical Chinese Legal event extraction via Pedal Attention Mechanism
We label a Chinese legal event dataset and evaluate our model on it.
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