A growing volume of heritage data is being digitized and made available as text via optical
character recognition (OCR). Scholars and libraries are increasingly using OCR-generated …

This work proposes a syntax-enhanced grammatical error correction (GEC) approach
named SynGEC that effectively incorporates dependency syntactic information into the …

Currently the unified semantic role labeling (SRL) that achieves predicate identification and
argument role labeling in an end-to-end manner has received growing interests. Recent …

We consider retrofitting structure-aware Transformer-based language model for facilitating
end tasks by proposing to exploit syntactic distance to encode both the phrasal constituency …

Abstract Syntax parse trees are a method of representing sentence structure and are often
used to provide models with syntax information and enhance downstream task performance …

In order to reduce the workload of manual grading and improve the efficiency of grading, a
computerized intelligent grading system for English translation based on natural language …

Semantic role labeling (SRL) is a fundamental yet challenging task in the NLP community.
Recent works of SRL mainly fall into two lines: 1) BIO-based; 2) span-based. Despite …

Despite the recent great success of the sequence-to-sequence paradigm in Natural
Language Processing, the majority of current studies in Semantic Role Labeling (SRL) still …

End-to-end semantic role labeling (SRL) has been received increasing interest. It performs
the two subtasks of SRL: predicate identification and argument role labeling, jointly. Recent …

Abstract Semantic Role Labeling (SRL), crucial for understanding semantic relationships in
sentences, has traditionally focused on text-based input. However, the increasing use of …