事件理解参数的联合建模

Yunmo Chen, Tongfei Chen, Benjamin Van Durme
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引用次数: 12

摘要

我们认识到文档中事件参数链接的任务类似于对话中的意图槽解析,提供了一个基于transformer的模型,该模型扩展了最近提出的解决方案,以解析对槽的引用。该方法允许在给定检测到的事件的情况下联合考虑候选参数,我们说明了这可以在多句子参数链接中实现最先进的性能。
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Joint Modeling of Arguments for Event Understanding
We recognize the task of event argument linking in documents as similar to that of intent slot resolution in dialogue, providing a Transformer-based model that extends from a recently proposed solution to resolve references to slots. The approach allows for joint consideration of argument candidates given a detected event, which we illustrate leads to state-of-the-art performance in multi-sentence argument linking.
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Do sentence embeddings capture discourse properties of sentences from Scientific Abstracts ? Contextualized Embeddings for Connective Disambiguation in Shallow Discourse Parsing Joint Modeling of Arguments for Event Understanding Coreference for Discourse Parsing: A Neural Approach Computational Interpretation of Recency for the Choice of Referring Expressions in Discourse
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