Papers by Yifang Sun

2 papers
Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations (2021.findings-emnlp)

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Challenge: Experiments show that PICO span detection results achieve much higher results for recall when compared to fully supervised methods.
Approach: They propose to extract and then normalise PICO information from clinical trial articles and use crowdsourced sentence-level annotations to detect spans.
Outcome: The proposed method achieves much higher results for recall when compared to fully supervised methods with PICO sentence detection at least as good as human annotations.
How to Best Use Syntax in Semantic Role Labelling (P19-1)

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Challenge: Existing studies on integrating external information into NLP tasks focus on word-level shallow features such as POS or chunk tags.
Approach: They propose to integrate syntactic information into a neural ELMo-based SRL sequence labelling model by using a constituency representation as input features.
Outcome: The proposed approach improves performance on the in-domain CoNLL’05 and CoNll’12 benchmarks.

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