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Expertise, Knowledge, and Resilience in #AcademicTwitter: Enacting Resilience-Craft in a Community of Practice

Sean M. Eddington, Caitlyn Jarvis • Media and Communication (2022)

Online communities of practice are a useful professional development space, where members can exchange information, aggregate expertise, and find support. These communities have grown in popularity within higher education—especially on soci...

DOAJ Open Access (DOAJ) DOI: 10.17645/mac.v10i2.5053

Options for Modeling Social Rational-Value Networks: Congruence Issues

Konstantin S. Kondratenko • Вестник Кемеровского государственного университета. Серия: политические, социологические и экономические науки (2024)

The article introduces a new concept designed to describe the social and sociotechnical processes that were triggered by digital transformation and, in their turn, resulted in Industry 5.0. The author described and modelled egocentric, comm...

DOAJ Open Access (DOAJ) DOI: 10.21603/2500-3372-2024-9-4-489-503

Consumers' Perception of Urban Farming—An Exploratory Study

Carola Grebitus, Lauren Chenarides, Rebecca Muenich, Alex Mahalov • Frontiers in Sustainable Food Systems (2020)

Urban agriculture offers the opportunity to provide fresh, local food to urban communities. However, urban agriculture can only be successfully embedded in urban areas if consumers perceive urban farming positively and accept urban farms in...

DOAJ Open Access (DOAJ) DOI: 10.3389/fsufs.2020.00079

Natural Language Processing

Nils J. Nilsson • Cambridge University Press eBooks (2009)

B eyond pattern recognition of individual alphanumeric characters , whether they be of fixed font or handwritten, lies the problem of understanding strings of characters that form words, sentences, or larger assemblages of text in a “natura...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511819346.009

The fluency-based semantic network of LLMs differs from humans

Ye Wang, Yaling Deng, Ge Wang, Tong Li et al. • Computers in Human Behavior: Artificial Humans (2025)

Modern Large Language Models (LLMs) exhibit complexity and granularity similar to humans in the field of natural language processing, challenging the boundaries between humans and machines in language understanding and creativity. However, ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.chbah.2024.100103

Effect of Word Sense Disambiguation on Neural Machine Translation: A Case Study in Korean

Quang-Phuoc Nguyen, Anh-Dung Vo, Joon-Choul Shin, Cheol-Young Ock • IEEE Access (2018)

With the advent of robust deep learning, neural machine translation (NMT) has achieved great progress and recently become the dominant paradigm in machine translation (MT). However, it is still confronted with the challenge of word ambiguit...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2018.2851281