Results 61 to 70 of about 1,332,615 (213)

Human‐supervised LLM triage of pig butchering complaints: A validation study of multi‐model identifier extraction

Journal of Forensic Sciences, EarlyView.
Abstract Digital forensic investigations increasingly process unstructured cryptocurrency‐fraud complaints at intake while preserving analyst oversight before evidentiary or downstream investigative use. This validation study evaluates whether human‐supervised multi‐model LLM extraction can recover triage‐relevant identifiers from California DFPI pig ...
Sanghyeob Ko, Jumi Kim, Jin Young Jang, Gibum Kim   +3 more
wiley   +1 more source

A named entity recognition model embedding rehabilitation medicine Chinese character knowledge graph [PDF]

PeerJ Computer Science
Background Named entity recognition (NER) is pivotal for medical information extraction and clinical decision support. However, most studies on Chinese medicine NER account for single-feature and multi-feature embeddings of Chinese characters, neglecting
Jinhong Zhong, Zhou Cheng, Shengping Liu, Mengting Sun, Zhanxiang Xuan, Wenxing Lu   +5 more
doaj   +2 more sources

Voluntary Disclosure Through the Prominence of Risk Factors in the 10‐K Information facultative par le biais de la mise en avant des facteurs de risque dans le formulaire 10‐K

Contemporary Accounting Research, EarlyView.
ABSTRACT Prior research finds that the textual content of Item 1A risk factor disclosures in 10‐K filings provides valuable information about firm risk. However, less is known about whether the ordering of these disclosures conveys useful information.
Michael Chin, Yue Liu, Kevin Moffitt
wiley   +1 more source

A Robust Chinese Named Entity Recognition Method Based on Integrating Dual-Layer Features and CSBERT

Applied Sciences
In the rapidly evolving field of cybersecurity, the integration of multi-source, heterogeneous, and fragmented data into a coherent knowledge graph has garnered considerable attention.
Yingjie Xu, Xiaobo Tan, Xin Tong, Wenbo Zhang   +3 more
doaj   +1 more source

Co‐operatives and public policy: A scoping review

Annals of Public and Cooperative Economics, EarlyView.
Abstract We sketch a first‐ever map of the scholarly literature on co‐operatives and public policy from a selection of English‐language studies published since 2000 using a scoping review methodology. We find that while co‐operatives are often framed as solutions to societal problems, few scholars draw on formal public policy theories.
Marc‐André Pigeon, Hanif Amoozadeh Mahdiraji   +1 more
wiley   +1 more source

Porous Lattice-based Transformer Encoder for Chinese NER

CoRR, 2019
9 pages, 4 ...
Mengge Xue, Bowen Yu 0002, Tingwen Liu, Bin Wang 0004, Erli Meng, Quangang Li   +5 more
openaire   +2 more sources

Global Apparel Value Chain in the Post‐MFA Era: Exploring Bangladesh's Competitive Edge

Asian-Pacific Economic Literature, EarlyView.
ABSTRACT This study revisits Bangladesh's competitive edge by examining patterns of global apparel trade during the post‐Multi‐Fibre Arrangement (MFA) era using a large bilateral panel of 27 leading apparel exporters trading with 163 destinations with coverage of 90% of the world apparel exports.
Abul Bashar Mohammed Fakhruzzaman
wiley   +1 more source

Protective effects of extracellular vesicle‐like nanoparticles derived from Cannabis sativa adventitious roots against UVB‐induced damage in human keratinocytes

International Journal of Cosmetic Science, EarlyView.
Cannabis sativa root‐derived extracellular vesicle‐like nanoparticles (CA‐NPs) were isolated from adventitious root cultures and subjected to physicochemical characterization. Upon UVB exposure, keratinocytes exhibited increased ROS generation, apoptosis and MAPK activation, leading to oxidative stress and skin damage.
Dong Ho Bak, Su Hyun Park, Young Bae Ryu, Cha Young Kim, Jae Cheol Jeong, Woo Sik Kim   +5 more
wiley   +1 more source

A New Adapter Tuning of Large Language Model for Chinese Medical Named Entity Recognition

Applied Artificial Intelligence
Named entity recognition (NER) is a crucial step in extracting medical information from Chinese text, and fine-tuning large language models (LLMs) for this task is an effective approach.
Lu Zhou, Yiheng Chen, Xinmin Li, Yanan Li, Ning Li, Xiting Wang, Rui Zhang   +6 more
doaj   +1 more source

A multi-layer soft lattice based model for Chinese clinical named entity recognition

BMC Medical Informatics and Decision Making, 2022
Objective Named entity recognition (NER) is a key and fundamental part of many medical and clinical tasks, including the establishment of a medical knowledge graph, decision-making support, and question answering systems.
Shuli Guo, Wentao Yang, Lina Han, Xiaowei Song, Guowei Wang   +4 more
doaj   +1 more source