Results 131 to 140 of about 379,251 (377)
American Journal of Biological Anthropology, Volume 180, Issue 1, Page 224-234, January 2023., 2023 When measuring the shape human crania, 3D digitizer, CT scanner, and surface scanner will measure precisely enough that individuals can be told apart in a principal component plot. Abstract This study aimed to test the performance of 3D digitizer, CT scanner, and surface scanner in detecting cranial fluctuating asymmetry. Sets of 32 landmarks (6 in the
Trine Bottos Olsen +2 more
wiley +1 more source
A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining
IEEE Access, 2019 The amount of biomedical literature is vast and growing quickly, and accurate text mining techniques could help researchers to efficiently extract useful information from the literature.
Donghyeon Kim +8 more
doaj +1 more source
Named Entity Recognition for Nepali Language [PDF]
2019 IEEE 5th International Conference on Collaboration and Internet Computing (CIC), 2019 Named Entity Recognition have been studied for different languages like English, German, Spanish and many others but no study have focused on Nepali language. In this paper we propose a neural based Nepali NER using latest state-of-the-art architecture based on grapheme-level which doesn't require any hand-crafted features and no data pre-processing ...
Ankur Padia +2 more
openaire +3 more sources
Advanced Materials, EarlyView.This review examines the fluid dynamic behavior within carbonaceous porous structures, linking structural characteristics to electrolyte transport and electrochemical performance. Specifically, it quantitatively assesses the effect of polyphenol derivatives‐harnessed multiscale pore structures on active surface utilization and electrochemical activity ...
Minjun Kim +3 more
wiley +1 more source
Fulfilling and desperately needed: Australian media representations of responses to homelessness
Australian Journal of Social Issues, Volume 57, Issue 4, Page 783-797, December 2022., 2022 Abstract Homelessness is a significant social issue that continues to confront Australian society, despite burgeoning public and policy responses to the issue. Existing scholarship demonstrates the important role the media can play in shaping such responses by framing homelessness – and the people who experience it – in particular ways.
Laura Simpson Reeves +3 more
wiley +1 more source
Named Entity Recognition for Malayalam
, 2022 Abstract—The process of identifying entities in a written document and categorizing them into predetermined categories such as Person, Location, Organization, and so on is known as named entity recognition. It is a vital phase in the natural language text processing process.
Silja C K, Dr.T K Bijimol
openaire +2 more sources
A Bio‐Inspired Perspective on Materials Sustainability
Advanced Materials, EarlyView.This perspective discusses natural materials as inspiration for sustainable engineering designs and the processing of materials. First, circularity, longevity, parsimony, and activity are presented as essential material paradigms. The perspective then uses many examples of natural and technical materials to introduce principles such as oligo ...
Wolfgang Wagermaier +2 more
wiley +1 more source
Named Entity Recognition Datasets: A Classification Framework
International Journal of Computational Intelligence SystemsNamed entity recognition as a fundamental task plays a crucial role in accomplishing some of the tasks and applications in natural language processing. In the age of Internet information, as far as computer applications are concerned, a huge proportion ...
Ying Zhang, Gang Xiao
doaj +1 more source
BMC Medical Informatics and Decision Making, 2019 Background This paper presents a conditional random fields (CRF) method that enables the capture of specific high-order label transition factors to improve clinical named entity recognition performance.
Wangjin Lee, Jinwook Choi
doaj +1 more source
Neural Named Entity Recognition for Kazakh
, 2023 We present several neural networks to address the task of named entity recognition for morphologically complex languages (MCL). Kazakh is a morphologically complex language in which each root/stem can produce hundreds or thousands of variant word forms.
Tolegen, Gulmira +3 more
openaire +2 more sources