Gendered Ambiguous Pronouns Shared Task: Boosting Model Confidence by Evidence Pooling

WS 2019 S Attreeeep

This paper presents a strong set of results for resolving gendered ambiguous pronouns on the Gendered Ambiguous Pronouns shared task. The model presented here draws upon the strengths of state-of-the-art language and coreference resolution models, and introduces a novel evidence-based deep learning architecture... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Coreference Resolution GAP ProBERT Entity F1 92.5 # 1

Methods used in the Paper


METHOD TYPE
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