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Retrieval-Augmented Generative Question Answering for Event Argument Extraction
Xinya Du,
Heng Ji
Siebel School of Computing and Data Science
Coordinated Science Lab
National Center for Supercomputing Applications (NCSA)
Research output
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Contribution to conference
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peer-review
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Keyphrases
Question Answering
100%
Generating Questions
100%
Event Argument Extraction
100%
Few-shot Learning
66%
Sampling Strategy
33%
Targeted Sequencing
33%
Cluster-based
33%
Learning Performance
33%
Model Capabilities
33%
Prediction Problems
33%
Fully-supervised
33%
Sequential Prediction
33%
Domain Transfer
33%
QA-pairs
33%
Learning from Demonstration
33%
Pre-trained Language Model
33%
Computer Science
Few-Shot Learning
100%
Information Retrieval
100%
Postprocessing
50%
Language Modeling
50%
Learning Performance
50%
Target Sequence
50%
Social Sciences
Language Modeling
100%
Learning Performance
100%