Results 91 to 100 of about 1,921,902 (255)

Framing anatomical variation in anatomy textbooks: Language use and its implications

Anatomical Sciences Education, EarlyView.
Text mining of anatomy textbooks shows “abnormal” is the most frequently used descriptor for anatomical variation, reinforcing a binary framing. We advocate for explicit teaching of variation as a spectrum, with consistent, neutral terminology and contextualization (prevalence and functional relevance) to support a more nuanced understanding of ...
An‐Di Yim, Matthew Schell, Alexandra Zachwieja   +2 more
wiley   +1 more source

Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study. [PDF]

Health Serv Res, 2021
Schillinger D, Balyan R, Crossley SA, McNamara DS, Liu JY, Karter AJ.   +5 more
europepmc   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Examining the language demands of informed consent documents in patient recruitment to cancer trials using tools from corpus and computational linguistics. [PDF]

Health (London), 2022
Isaacs T, Murdoch J, Demjén Z, Stevenson F.   +3 more
europepmc   +1 more source

ChatGPT for complex text evaluation tasks

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 645-648, April 2025.
Abstract ChatGPT and other large language models (LLMs) have been successful at natural and computer language processing tasks with varying degrees of complexity. This brief communication summarizes the lessons learned from a series of investigations into its use for the complex text analysis task of research quality evaluation.
Mike Thelwall
wiley   +1 more source

Implicit voice learning through discrimination outperforms explicit listen-and-memorize tasks

Scientific Reports
Voice learning primarily occurs implicitly in everyday situations—as an incidental by-product of other activities such as participating in conversation or listening to voices in the media.
Andrea Fröhlich, Meike Ramon, Peter French, Volker Dellwo   +3 more
doaj   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

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, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

Developing a critical caste analysis within information science and technology: A research review: An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley   +1 more source

Improving semantic relevance for sequence-to-sequence learning of Chinese social media text summarization [PDF]

55th Annual Meeting of the Association for Computational Linguistics, July 30-August 4, 2017, Vancouver, Canada202402 bcchVersion of ...
Wang, H, Ma, S, Xu, J, Li, W, Su, Q, Sun, X   +5 more
core   +1 more source

Conceptualizing algorithmic inequality and future agenda. An annual review of information science and technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The issue of inequality caused by algorithms, termed ‘algorithmic inequality’, has recently attracted scholarly attention in many disciplines due to its profound implications for society. While the body of literature on algorithmic inequality has grown, there remains a lack of comprehensive understanding of its nature, drivers, and impact ...
Shiwei Jia, Jia Tina Du, Hui Yan
wiley   +1 more source