Despite the success of ChatGPT, its performances on most NLP tasks are still well below the
supervised baselines. In this work, we looked into the causes, and discovered that its subpar …

Abstract The Entity and Relation Extraction (ERE) task includes two basic sub-tasks: Named
Entity Recognition and Relation Extraction. In the last several years, much work focused on …

Prior works on joint Information Extraction (IE) typically model instance (eg, event triggers,
entities, roles, relations) interactions by representation enhancement, type dependencies …

This paper presents an approach to frame semantic role labeling (FSRL), a task in natural
language processing that identifies semantic roles within a text following the theory of frame …

Recent models have shown that incorporating syntactic knowledge into the semantic role
labelling (SRL) task leads to a significant improvement. In this paper, we propose Syntax …

In this work, we enhance higher-order graph-based approaches for span-based semantic
role labeling (SRL) by means of structured modeling. To decrease the complexity of higher …

Second-order semantic parsing with end-to-end mean-field inference has been shown good
performance. In this work we aim to improve this method by modeling label correlations …

This systematic review looks at the advances, trends, and challenges within Semantic Role
Labelling (SRL) for both English and Indian languages. SRL stands as a pivotal undertaking …

The multi-scale object detection algorithm based on deep learning is a common method for
safety monitoring in current power operation scenarios, which is of great significance to …