Papers by Zizheng Lin

2 papers
Multilingual and Multi-Aspect Hate Speech Analysis (D19-1)

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Challenge: Current research on hate speech analysis is oriented towards monolingual and single classification tasks.
Approach: They propose to use a multilingual multi-aspect hate speech analysis dataset to test current methods . they evaluate the dataset in various classification settings and discuss how to leverage annotations .
Outcome: The proposed dataset can be used to improve hate speech detection and classification in general.
Global Constraints with Prompting for Zero-Shot Event Argument Classification (2023.findings-eacl)

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Challenge: Existing zero-shot trigger extraction models require annotations, which is not practical for open-domain applications.
Approach: They propose to use global constraints with prompting to tackle event argument classification without annotation and task-specific training.
Outcome: The proposed model outperforms the best zero-shot baselines by 12.5% and 10.9% F1 on ACE and ERE with given argument spans and by 4.3% and 3.3% F1 without given argument spas.

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