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김형훈

Kim, Hyounghun
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RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios

Author(s)
Du, X.Zhang, Z.Li, S.Wang, Z.Yu, P.Wang, H.Lai, T.M.Lin, X.Liu, I.Zhou, B.Wen, H.Li, M.Hannan, D.Lei, J.Kim, HyounghunDror, R.Regan, M.Zeng, Q.Lyu, Q.Yu, C.Edwards, C.Jin, X.Jiao, Y.Kazeminejad, G.Callison-Burch, C.Vondrick, C.Bansal, M.Roth, D.Han, J.Chang, S.-F.Palmer, M.Ji, H.
Issued Date
2022-07-10
URI
https://scholarworks.unist.ac.kr/handle/201301/75715
Citation
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.54 - 63
Abstract
We introduce RESIN-11, a new schema-guided event extraction and prediction system 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 learning-based techniques. (2) a schema matching and schema-guided event prediction system based on our curated schema library. We build a demo website based on our dockerized system and schema library publicly available for installation. We also include a video demonstrating the system. © 2022 Association for Computational Linguistics.
Publisher
Association for Computational Linguistics (ACL)

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