Results 61 to 70 of about 328,579 (213)
Large language models unlock large text corpora in the search for data on medicinal plants and fungi
Millions of people worldwide depend on plants and fungi for their healthcare needs, yet our understanding of which species are used medicinally—and how—remains fragmented and incomplete. As part of Kew's Plants for Health service, we developed a pipeline to mine large text corpora for information on natural products, initially focusing on the medicinal
Adam Richard‐Bollans +6 more
wiley +1 more source
Durham - a word sense disambiguation system [PDF]
Ever since the 1950's when Machine Translation first began to be developed, word sense disambiguation (WSD) has been considered a problem to developers. In more recent times, all NLP tasks which are sensitive to lexical semantics potentially benefit from
Hawkins, Paul Martin
core
Abstract Research Summary Resource‐based‐view scholars have mainly examined two resource allocation approaches for competitive advantage in multiunit firms: resource sharing and resource redeployment. These approaches emphasize allocative efficiency—the optimal allocation of resources to maximize their current value. In technology‐intensive industries,
Vivek Tandon +3 more
wiley +1 more source
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 +3 more
wiley +1 more source
Entity Linking on Chinese Microblogs via Deep Neural Network
Entity linking is the task of mapping mentions in text to target knowledge base, which is crucial to knowledge-base-related tasks such as knowledge fusion and knowledge base construction.
Weixin Zeng, Jiuyang Tang, Xiang Zhao
doaj +1 more source
Abstract Hundreds of thousands of peer‐reviewed articles and grey‐literature reports appear each year in ecology and conservation, creating a pressing need for scalable synthesis tools. We demonstrate that transformer‐based Large Language Models (LLMs), when embedded within a practical, expert‐in‐the‐loop pipeline, offer a reliable path forward ...
Sruthi M. Krishna Moorthy +4 more
wiley +1 more source
Named Entity Disambiguation in Slovak
Thesis deals with the topic of named entity recognition and disambiguation. A basic system was created which includes all prequisitions necessary for named entity disambiguation in Slovak language.
Križan, Samuel
core +1 more source
Rulers on the road: Itinerant rule in the Holy Roman Empire, AD 919–1519
Abstract Itinerant rule, rule exercised through traveling, was a common yet insufficiently researched, premodern form of governance. Studying the determinants of ruler itineraries in the Holy Roman Empire, AD 919–1519, we argue that rulers' visits targeted “marginal” elites.
Carl Müller‐Crepon +3 more
wiley +1 more source
Entity linking (EL) is a task about natural language that links mentions of entities in text to corresponding entities that are in a knowledge base. Potential applications include question-answering systems, information extraction and knowledge base ...
Shuanghu Luo, Penglong Wang, Min Cao
doaj +1 more source
Volume Quantization with Flexible Singularities for Hexahedral Meshing
Abstract We present a novel algorithm for quantization and subsequent hexahedral mesh generation from seamless volumetric maps. Quantization is the process of choosing integers that represent the numbers of hexahedral elements to be placed in each region of the volume, and transforming the seamless map into an integer‐grid map matching that choice ...
H. Brückler, M. Campen
wiley +1 more source

