Multi-Task Learning for Joint Semantic Role and Proto-Role Labeling We put forward an end-to-end multi-step machine learning model which jointly labels semantic roles and the proto-roles of Dowty (1991), given a sentence an... Aashish Arora,Harshitha Malireddi,Daniel Bauer,... - ArXiv 被...
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\end{aligned}$$ 4 Proposed method In this section, we introduce a novel dialogue understanding model that jointly learns the intent detection and slot filling tasks, and employs the trust gating mechanism to reduce the noise sharing problem in the few-shot setting (Sect. 4.1). To help the ...
EE in low-resource scenarios has given rise to unsupervised models. Peng et al. [17] proposed a method to detect events by measuring the similarities between event structures, which are generated by semantic role labeling and requires minimal supervision. Likewise, structure information of event ...
However, span-based models overlook the influence of lexical information on the semantic representation of the span and fail to consider relations with a strong intrinsic connection between span pairs. To tackle these aforementioned issues, we present a new ERE model called ER-LAC (Span-based ...