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2022 NAACL NAACL 2022

RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios

Abstract

AbstractWe introduce RESIN-11, a new schema-guided event extraction&prediction framework that can be applied to a large variety of newsworthy scenarios. The framework consists of two parts: (1) an open-domain end-to-end multimedia multilingual information extraction system with weak-supervision and zero-shot learningbased techniques. (2) schema matching and schema-guided event prediction based on our curated schema library. We build a demo website based on our dockerized system and schema library publicly available for installation (https://github.com/RESIN-KAIROS/RESIN-11). We also include a video demonstrating the system.

👥 Mega-Team — 34 authors
🌉 Interdisciplinary Bridge — Artificial Intelligence and Machine Learning and Natural Language Processing
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Xinya Du , Zixuan Zhang , Sha Li , Pengfei Yu , Hongwei Wang , Tuan Lai , Xudong Lin , Ziqi Wang , Iris Liu , Ben Zhou , Haoyang Wen , Manling Li , Darryl Hannan , Jie Lei , Hyounghun Kim , Rotem Dror , Haoyu Wang , Michael Regan , Qi Zeng , Qing Lyu , Charles Yu , Carl Edwards , Xiaomeng Jin , Yizhu Jiao , Ghazaleh Kazeminejad , Zhenhailong Wang , Chris Callison-Burch , Mohit Bansal , Carl Vondrick , Jiawei Han , Dan Roth , Shih-fu Chang , Martha Palmer , Heng Ji

Topics

Machine Learning > Learning Types > Zero-Shot Learning Natural Language Processing > Applications > Information Extraction Artificial Intelligence > Core AI > Reasoning

Keywords

zero-shot learning multimodal learning event prediction event extraction multilingual information extraction
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