We adopt usage-based construction grammar as the basis of our work, which is highly compatible with statistical models such as PLMs.
Grammatical Error Correction (GEC) has been broadly applied in automatic correction and proofreading system recently.
Ranked #1 on Grammatical Error Correction on FCGEC
Aspect-level sentiment analysis aims to determine the sentiment polarity towards a specific target in a sentence.
Ranked #1 on Aspect-Based Sentiment Analysis (ABSA) on Rest16
Our Graph- PGCR module is plug-and-play, which can be integrated into any architecture to improve its performance.
no code implementations • 27 Feb 2021 • Yingying Xu, Ming Cai, Lanfen Lin, Yue Zhang, Hongjie Hu, Zhiyi Peng, Qiaowei Zhang, Qingqing Chen, Xiongwei Mao, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong
In this paper, we propose a phase attention residual network (PA-ResSeg) to model multi-phase features for accurate liver tumor segmentation, in which a phase attention (PA) is newly proposed to additionally exploit the images of arterial (ART) phase to facilitate the segmentation of portal venous (PV) phase.
If a CAD model is not available, it is possible to use multi-view visual reconstruction methods to create a geometric model, and use this in the same manner.
We validate the effectiveness of our ASST on two large-scale datasets.
Detecting objects and their 6D poses from only RGB images is an important task for many robotic applications.