@inproceedings{b31903a9a33843299baba1ffea1c7c51,
title = "Building an Event Extractor with Only a Few Examples",
abstract = "Supervised event extraction models require a substantial amount of training data to perform well. However, event annotation requires a lot of human effort and costs much time, which limits the application of existing supervised approaches to new event types. In order to reduce manual labor and shorten the time to build an event extraction system for an arbitrary event ontology, we present a new framework to train such systems much more efficiently without large annotations. Our event trigger labeling model uses a weak supervision approach, which only requires a set of keywords, a small number of examples and an unlabeled corpus, on which our approach automatically collects weakly supervised annotations. Our argument role labeling component performs zero-shot learning, which only requires the names of the argument roles of new event types. The source codes of our event trigger detection and event argument extraction models are publicly available for research purposes. We also release a dockerized system connecting the two models into an unified event extraction pipeline.",
author = "Pengfei Yu and Zixuan Zhang and Clare Voss and Jonathan May and Heng Ji",
note = "Publisher Copyright: {\textcopyright} 2022 Association for Computational Linguistics.; 3rd Workshop on Deep Learning Approaches for Low-Resource NLP, DeepLo 2022 ; Conference date: 14-07-2022",
year = "2022",
language = "English (US)",
series = "DeepLo 2022 - 3rd Workshop on Deep Learning Approaches for Low-Resource NLP, Proceedings of the DeepLo Workshop",
publisher = "Association for Computational Linguistics (ACL)",
pages = "102--109",
editor = "Colin Cherry and Angela Fan and George Foster and Gholamreza Haffari and Shahram Khadivi and Nanyun Peng and Xiang Ren and Ehsan Shareghi and Swabha Swayamdipta",
booktitle = "DeepLo 2022 - 3rd Workshop on Deep Learning Approaches for Low-Resource NLP, Proceedings of the DeepLo Workshop",
}