Y Xiao, S Zheng, J Shi, X Du, J Hong - Journal of Manufacturing Systems, 2023 - Elsevier
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 …
YM Shang, H Huang, X Mao - Proceedings of the AAAI conference on …, 2022 - ojs.aaai.org
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 …
T Wu, B Li, Y Luo, Y Wang, C Xiao, T Liu… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
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 …
KH Huang, S Tang, N Peng - arXiv preprint arXiv:2109.04901, 2021 - arxiv.org
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 …