Results 51 to 60 of about 1,142,269 (203)
Reading bots: The implication of deep learning on guided reading
Frontiers in Psychology, 2023 This study introduces the application of deep-learning technologies in automatically generating guidance for independent reading. The study explores and demonstrates how to incorporate the latest advances in deep-learning-based natural language ...
Baorong Huang +3 more
doaj +1 more source
Journal of the Association for Information Science and Technology, EarlyView.Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation [PDF]
Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning, 2016 Accepted at CoNLL ...
Ikuya Yamada +3 more
openaire +3 more sources
Enriching media fragments with named entities for video classification
, 2013 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.
Rizzo, Giuseppe +5 more
core +2 more sources
What's a White Matter ‘Fiber’?
Clinical Anatomy, EarlyView.ABSTRACT White matter anatomy is investigated using methods that operate at markedly different spatial scales and rely on distinct biological and physical principles. Nevertheless, the term “fiber” is routinely applied to the outputs of tract‐tracing studies, diffusion MRI tractography, and postmortem fiber dissection, often as though these entities ...
Guillaume Dannhoff +3 more
wiley +1 more source
Large language models unlock large text corpora in the search for data on medicinal plants and fungi
PLANTS, PEOPLE, PLANET, EarlyView.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
An Approach to Web-Scale Named-Entity Disambiguation [PDF]
, 2009 We present a multi-pass clustering approach to large scale, wide-scope named-entity disambiguation (NED) on collections of web pages. Our approach uses name co-occurrence information to cluster and hence disambiguate entities, and is designed to handle NED on the entire web.
Luís Sarmento +3 more
openaire +2 more sources
Strategic Management Journal, EarlyView.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
Named Entity Disambiguation in Slovak
, 2022 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
IEEE Access, 2022 The Bangla language is the seventh most spoken language, with 265 million native and non-native speakers worldwide. However, English is the predominant language for online resources and technical knowledge, journals, and documentation. Consequently, many
Ovishake Sen +10 more
doaj +1 more source