Results 71 to 80 of about 3,128,761 (236)
Deep learning for named entity recognition in Turkish radiology reports [PDF]
PURPOSE: The primary objective of this research is to enhance the accuracy and efficiency of information extraction from radiology reports. In addressing this objective, the study aims to develop and evaluate a deep learning framework for named entity ...
Muhammet Batuhan Gökhan +5 more
core +1 more source
ABSTRACT This article contributes to sustainability research by investigating the complex, geopolitically induced challenges faced by industrial supply chains under international sanctions. Using Iran's steel industry as a case, it examines sustainability barriers through the lens of stakeholder theory. A mixed methods approach was employed.
Seyed Hamed Moosavirad +2 more
wiley +1 more source
A geo-temporal information extraction service for processing descriptive metadata in digital libraries [PDF]
In the context of digital map libraries, resources are usually described according to metadata records that define the relevant subject, location, time-span, format and keywords.
Martins, Bruno +3 more
core +1 more source
Persian Named Entity Recognition
Named Entity Recognition (NER) is an important natural language processing (NLP) tool for information extraction and retrieval from unstructured texts such as newspapers, blogs and emails.
Hussain, Amir +11 more
core +1 more source
OSCAR4: a flexible architecture for chemical text-mining. [PDF]
The Open-Source Chemistry Analysis Routines (OSCAR) software, a toolkit for the recognition of named entities and data in chemistry publications, has been developed since 2002.
David M Jessop +9 more
core +5 more sources
Greens in Regulation: Biodiversity Strategy Implementation Across the Golf Industry
ABSTRACT Although much of the business and biodiversity literature focuses on extractive industries, we turn our attention to the golf industry. Golf courses occupy millions of acres globally, yet biodiversity strategy implementation across the golf industry remains understudied.
Jordan P. Howell, Jordan Moore
wiley +1 more source
Enriching media fragments with named entities for video classification
With the steady increase of videos published on media sharing platforms such as Dailymotion and YouTube, more and more efforts are spent to automatically annotate and organize these videos.
José Luis Redondo García +12 more
core +2 more sources
The body of ecological literature, which informs much of our knowledge of the global loss of biodiversity, has been experiencing rapid growth in recent decades.
Daan Scheepens +3 more
doaj +1 more source
Enhanced Named Entity Recognition through Joint Dependency Parsing
Named entity recognition (NER) is the task of identifying and classifying named entities from texts. NER can benefit from linguistic dependency information, yet existing NER models can only utilize such information on datasets where dependency ...
Wang, Z +4 more
core +1 more source
Green Hydrogen for Public Transportation: Insights From an ABM and From Palma de Mallorca Case Study
ABSTRACT The development of green hydrogen (GH2) value chains is crucial for decarbonizing sectors such as transport and industry. Their emergence, however, requires coordination among diverse actors, technologies, and regulations, which traditional analytical approaches struggle to capture.
Roberta De Cristofaro +2 more
wiley +1 more source

