Generative Knowledge Graph Construction (KGC) refers to those methods that leverage the
sequence-to-sequence framework for building knowledge graphs, which is flexible and can …

Computer-aided process planning is the bridge between computer-aided design and
computer-aided manufacturing. With the advent of the intelligent manufacturing era, process …

Recently, prompt-tuning has achieved promising results for specific few-shot classification
tasks. The core idea of prompt-tuning is to insert text pieces (ie, templates) into the input and …

Joint entity and relation extraction is an essential task in natural language processing and
knowledge graph construction. Existing approaches usually decompose the joint extraction …

Document-level relation extraction aims to extract relations among multiple entity pairs from
a document. Previously proposed graph-based or transformer-based models utilize the …

Space-based infrared tiny ship detection aims at separating tiny ships from the images
captured by Earth-orbiting satellites. Due to the extremely large image coverage area (eg …

Persona attribute extraction is critical for personalized human-computer interaction.
Dialogue is an important medium that communicates and delivers persona information …

Relation extraction (RE) models have been challenged by their reliance on training data
with expensive annotations. Considering that summarization tasks aim at acquiring concise …

The infrared small and dim (S&D) target detection is one of the key techniques in the infrared
search and tracking system. Since the local regions similar to infrared S&D targets spread …

Document-level entity-based extraction (EE), aiming at extracting entity-centric information
such as entity roles and entity relations, is key to automatic knowledge acquisition from text …