Event argument extraction (EAE) aims to identify the arguments of an event and classify the
roles that those arguments play. Despite great efforts made in prior work, there remain many …

Semantic role labeling (SRL) is the task of identifying predicates and labeling argument
spans with semantic roles. Even though most semantic-role formalisms are built upon …

Recent research indicates that taking advantage of complex syntactic features leads to
favorable results in Semantic Role Labeling. Nonetheless, an analysis of the latest state-of …

Citations play a fundamental role in supporting authors' contribution claims throughout a
scientific paper. Labelling citation instances with different function labels is indispensable for …

Measurement extraction is an information extraction subtask focused on extracting quantities
and their dependent entities within a given scientific text. Quantity extraction is the first and …

Semantic role labeling (SRL) is dedicated to recognizing the semantic predicate-argument
structure of a sentence. Previous studies in terms of traditional models have shown syntactic …

We reduce the task of (span-based) PropBank-style semantic role labeling (SRL) to syntactic
dependency parsing. Our approach is motivated by our empirical analysis that shows three …

Cross-document event coreference resolution (CDCR) is an NLP task in which mentions of
events need to be identified and clustered throughout a collection of documents. CDCR …

We study graph-based approaches to span-based semantic role labeling. This task is
difficult due to the need to enumerate all possible predicate-argument pairs and the high …

This paper reduces discontinuous parsing to sequence labeling. It first shows that existing
reductions for constituent parsing as labeling do not support discontinuities. Second, it fills …