Semantic role labeling (SRL) is crucial to natural language understanding as it identifies the
predicate-argument structure in text with semantic labels. Unfortunately, resources required …

Semantic role labeling (SRL) represents the meaning of a sentence in the form of predicate-
argument structures. Such shallow semantic analysis is helpful in a wide range of …

Argument classification is at the core of Semantic Role Labeling. Given a sentence and the
predicate, a semantic role label is assigned to each argument of the predicate. While …

Content crowdsourcing, which refers to the mechanisms of individuals' contribution to the
common subject matters, followed by consolidation, is increasingly common. 1 One of the …

Semantic role labeling (SRL) identifies the predicate-argument structure in text with
semantic labels. It plays a key role in understanding natural language. In this paper, we …

Semantic role labeling (SRL) is the task of identifying and labeling predicate-argument
structures in sentences with semantic frame and role labels. A known challenge in SRL is …

Abstract Semantic Role Labeling (SRL) is the task of identifying the predicate-argument
structure in sentences with semantic frame and role labels. For the English language, the …

Semantic role labeling (SRL) identifies the predicate-argument structure in a sentence. This
task is usually accomplished in four steps: predicate identification, predicate sense …

Recent breakthroughs in Natural Language Processing (NLP) have been driven by
language models trained on a massive amount of plain text. While powerful, deriving …

Applications of Wiki in web-based research support system | Emerald Insight Books and
journals Case studies Expert Briefings Open Access Publish with us Advanced search …