Results 161 to 170 of about 7,575 (302)

Part-of-Speech Tagging Using the Brill Method

, 2004
Part-of-speech tagging is the process of associating each word in a text with it's part-of-speech category and possibly a set of morphosyntactic features. This information is represented by part-of-speech tags. This paper describes an implementation
Maria Larsson, Måns Norelius
core  

Autoreactivity vs autoimmunity: characteristics of autoantigen‐specific CD4 T‐cells in rheumatoid arthritis and health.

Arthritis &Rheumatology, Accepted Article.
Background CD4 T cells specific for citrullinated (cit)‐peptides are key players in RA immunopathogenesis. Characterising these cells and identifying features of healthy and RA‐associated autoreactivity will provide valuable insight into disease mechanisms and form the basis of immune state biomarkers to facilitate the next generation of RA treatments.
James A. Stanway, Daniel Peters, Helen Waller, Jeremy Lakey, Henrique De Paula Lemos, Kristian Williams, Abbie Degnan, Julie Diboll, Abdul Mannan Baru, David Tough, Arthur G. Pratt, Catharien M.U. Hilkens, Amy E. Anderson, John D. Isaacs   +13 more
wiley   +1 more source

Tagging Errors in Non-Native English Language Student-Composed Texts of Different Registers

Baltic Journal of English Language, Literature and Culture, 2014
Research of linguistic features requires part of speech (POS) tagging of texts. The existing POS taggers have been predominantly trained on native speakers’ texts to enhance their accuracy.
Zigrīda Vinčela
doaj  

“Hands‐On” white matter anatomy: Using Air Anatomy gestures and tractography on simple brain sections to enhance teaching of white matter directions

Anatomical Sciences Education, EarlyView.
Abstract Teaching white matter (WM) anatomy to undergraduates is challenging. This is partly because WM fibers are oriented intricately and Klingler's dissection, the gold standard method used to demonstrate it, often requires time, advanced anatomical knowledge, and refined dissection skills.
Doris George Yohannan, Rohini Punja, Thomas Iype, Chandrasekharan Kesavadas, Bejoy Thomas, Kannanvilakom Govindapillai Umesan, Aswathy Maria Oommen, Usha Devi Keezhathil Bhargavi   +7 more
wiley   +1 more source

Evaluation of Part of Speech Tagging on Persian Text

, 2008
One of the fundamental tasks in natural language processing is part of speech (POS) tagging. A POS tagger is a piece of software that reads text in some language and assigns a part of speech tag to each one of the words.
Mehdi Sarmadi, Hadi Amiri, Fahimeh Raja, Samira Tasharofi, Hossein Hojjat   +4 more
core  

UzbekPOS: A multi-domain dataset for Uzbek part-of-speech tagging. [PDF]

Data Brief
Sharipov M, Kuriyozov E, Vičič J.
europepmc   +1 more source

Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 703-717, April 2025.
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto, Amina A. Abdu, Natascha Chtena   +2 more
wiley   +1 more source

LFF-POS: A linguistic fusion method to handle out-of-vocabulary words in low-resource part-of-speech tagging. [PDF]

MethodsX
Alfian M, Yuhana UL, Siahaan D, Munazharoh H, Pardede E.   +4 more
europepmc   +1 more source

Development of tag sets for part-of-speech tagging [PDF]

, 2008
This article discusses tag sets used when PoS-tagging a corpus, that is, enriching a corpus by adding a part-of-speech tag to each word. This requires a tag-set, a list of grammatical category labels; a tagging scheme, practical definitions of each tag or label, showing words and contexts where each tag applies; and a tagger, a program for assigning a ...
openaire   +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)

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