Fault diagnosis is crucial for repairing aircraft and ensuring their proper functioning.
However, with the higher complexity of aircraft, some traditional diagnosis methods that rely …

Depressive symptoms identification on social media aims to identify posts from social media
expressing symptoms of depression. This can be beneficial for developing mental health …

This survey presents an in-depth review of the transformative role of Natural Language
Processing (NLP) in finance, highlighting its impact on ten major financial applications:(1) …

Few-shot named entity recognition (FS-NER) aims at identifying entities from plain text via a
handful of samples. Many efforts based on prototype learning hardly model the hierarchy in …

Geological text data play a crucial role as sources of geological information and knowledge
for mineral exploration. Mineral exploration involves predicting and detecting mineral …

Event detection (ED) is a pivotal task for information retrieval, which aims at identifying event
triggers and classifying them into pre-defined event types. In real-world applications, events …

Span identification aims at identifying specific text spans from text input and classifying them
into pre-defined categories. Different from previous works that merely leverage the …

Chinese electronic medical records named entity recognition (NER) is a core task in medical
knowledge mining, which is usually viewed as a sequence labeling problem. Recent works …

Abstract Knowledge graph is widely used in intelligent analysis and graph structure
applications, which uses triplets to describe the relations and facts in the real world. In the …

Named entity recognition (NER) stands as a pivotal task in natural language processing,
bearing profound implications for diverse downstream applications. Recent scholarship …