Papers with implicit syntactic representations

2 papers
Semantic Role Labeling with Heterogeneous Syntactic Knowledge (2020.coling-main)

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Challenge: Recent work on incorporating syntactic knowledge into neural semantic role labeling has gained much attention . incorporating heterogeneous syntaktic knowledge brings significant improvements over strong baselines .
Approach: They propose to encode heterogeneous syntactic knowledge for SRL from explicit and implicit representations from heterogenous treebanks.
Outcome: The proposed approaches improve on two widely-used benchmark datasets.
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling (D19-1)

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Challenge: Semantic role labeling (SRL) aims to identify the predicate-argument structure of a sentence.
Approach: They propose to use a unified span-based model for Chinese SRL as a strong baseline.
Outcome: The proposed framework achieves state-of-the-art 87.54 and 88.5 F1 scores on the Chinese Proposition Bank and CoNLL-2009 datasets.

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