Results 41 to 50 of about 9,285,371 (201)
Connecting Distant Entities with Induction through Conditional Random Fields for Named Entity Recognition: Precursor-Induced CRF [PDF]
Proceedings of the Seventh Named Entities Workshop, 2018 This paper presents a method of designing specific high-order dependency factor on the linear chain conditional random fields (CRFs) for named entity recognition (NER). Named entities tend to be separated from each other by multiple outside tokens in a text, and thus the first-order CRF, as well as the second-order CRF, may innately lose transition ...
Wangjin Lee, Jinwook Choi
openaire +4 more sources
SEMANTIC BUILDING FAÇADE SEGMENTATION FROM AIRBORNE OBLIQUE IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 With the introduction of airborne oblique camera systems and the improvement of photogrammetric techniques, high-resolution 2D and 3D data can be acquired in urban areas.
Y. Lin, F. Nex, M. Y. Yang
doaj +1 more source
Leveraging Integrated Learning for Open-Domain Chinese Named Entity Recognition
International Journal of Crowd Science, 2022 Named entity recognition (NER) is a fundamental technique in natural language processing that provides preconditions for tasks, such as natural language question reasoning, text matching, and semantic text similarity.
Jin Diao, Zhangbing Zhou, Guangli Shi
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E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation [PDF]
, 2023 Modern semantic segmentation methods devote much effect to adjusting image feature representations to improve the segmentation performance in various ways, such as architecture design, attention mechnism, etc.
Huang, Huabin +3 more
core
CRaFT: A Conditional Random Fields Toolbox for Matlab
SoftwareXConditional random fields (CRFs) provide a powerful framework for modeling spatial variability while enforcing consistency with measured data, and are essential for uncertainty analysis across a wide range of engineering applications.
Zhibao Zheng
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Aspect Term Extraction Based on MFE-CRF
Information, 2018 This paper is focused on aspect term extraction in aspect-based sentiment analysis (ABSA), which is one of the hot spots in natural language processing (NLP).
Yanmin Xiang, Hongye He, Jin Zheng
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Equine Veterinary Journal, EarlyView.Abstract Background CEPEF4 provides the most comprehensive contemporary dataset on perianaesthetic risk in horses. Intraoperative complications, monitoring and American Society of Anesthesiologists (ASA)‐stratified associations with death remain incompletely described.
J. I. Redondo +5 more
wiley +1 more source
Data‐driven recovery of hand depth using CRRF on stereo images
IET Computer Vision, 2018 Hand pose is emerging as an important interface for human–computer interaction. This study presents a data‐driven method to estimate a high‐quality depth map of a hand from a stereoscopic camera input by introducing a novel superpixel‐based regression ...
Rilwan Remilekun Basaru +3 more
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CONTEXT MODELS FOR CRF-BASED CLASSIFICATION OF MULTITEMPORAL REMOTE SENSING DATA [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The increasing availability of multitemporal satellite remote sensing data offers new potential for land cover analysis. By combining data acquired at different epochs it is possible both to improve the classification accuracy and to analyse land cover ...
T. Hoberg, F. Rottensteiner, C. Heipke
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High Voltage, EarlyView.ABSTRACT Oil‐immersed power equipment is a critical component for energy transmission and secure operation of modern power grids. The ageing of oil–paper insulation under combined electrical, thermal and mechanical stresses directly affects equipment lifetime and system reliability. This paper presents a comprehensive review of the ageing behaviour and
Ruijin Liao +6 more
wiley +1 more source