Results 121 to 130 of about 341,942 (325)

Research Progress of Named Entity Recognition Based on Large Language Model [PDF]

Jisuanji kexue yu tansuo
Named entity recognition aims to identify named entities and their types from unstructured text, which is an important basic task in natural language processing technologies such as question answering system, machine translation and knowledge graph. With
LIANG Jia, ZHANG Liping, YAN Sheng, ZHAO Yubo, ZHANG Yawen
doaj   +1 more source

Translating polysemous expressions [PDF]

, 2022
Polysemy is one of the most intricate features in machine translation. A word may have more than one meaning, and these meanings range from near-synonyms to entirely different concepts.
Hurskainen, Arvi
core  

Liver‐specific lncRNAs associated with liver cancers

FEBS Open Bio, EarlyView.
Long non‐coding RNAs (lncRNAs) are regulatory molecules with various functions. They are more tissue‐specific than proteins and can be used as potential biomarkers, particularly in cancer diagnostics and prognosis. In this review, we have systematically compiled all lncRNAs with exclusive expression in the human liver, verified their liver specificity ...
Olga Y. Burenina, Roman K. Makarchenko, Maria P. Rubtsova, Olga A. Dontsova   +3 more
wiley   +1 more source

Can Automatic Post-Editing Make MT More Meaningful? [PDF]

, 2012
Automatic post-editors (APEs) enable the re-use of black box machine translation (MT) systems for a variety of tasks where different aspects of translation are important. In this paper, we describe APEs that target adequacy errors, a critical problem for
de Gispert, Adria, Habash, Nizar Y., Iglesias, Gonzalo, McKeown, Kathleen, Parton, Kristen   +4 more
core   +2 more sources

Advantages and limitations of navigation‐based multicriteria optimization (MCO) in selectively sparing pharyngeal constrictor muscles in head and neck radiotherapy treatment planning

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Sparing pharyngeal constrictor muscles (PCMs) during radiotherapy improves patient‐reported swallowing function. This study aimed to explore the feasibility of integrating knowledge‐based planning (KBP) with multicriteria optimization (MCO) in Eclipse v18.0 to selectively spare PCM, quantify the required trade‐off in prophylactic ...
Laura K. Howard, Simon J. P. Meara, Ehab M. Ibrahim, Carl G. Rowbottom   +3 more
wiley   +1 more source

Long‐term stability analysis of beam shape in a robotic radiosurgery system

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aimed to investigate the long‐term stability of CyberKnife beam profile parameters and assess their compliance with existing quality assurance (QA) guidelines. We evaluated beam profiles in both standard and diagonal planes over 3.5 years post‐installation to detect potential issues and ensure consistent beam quality.
Ryoichi Hinoto, Shiho Kashiyama, Takahisa Eriguchi, Nobuhiro Tsukamoto, Takeji Sakae   +4 more
wiley   +1 more source

Precision‐Optimised Post‐Stroke Prognoses

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope, Howard Bowman, Rachel M. Bruce, Alex P. Leff, Cathy J. Price   +4 more
wiley   +1 more source

Nlp Challenges for Machine Translation from English to Indian Languages [PDF]

, 2013
This Natural Langauge processing is carried particularly on English-Kannada/Telugu. Kannada is a language of India. The Kannada language has a classification of Dravidian, Southern, Tamil-Kannada, and Kannada.
Hanumanthappa, M., Mallamma, V. Reddy.
core  

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Retrotransposon Expression Is Upregulated in Adulthood and Suppressed during Regeneration of the Limb in the Axolotl (Ambystoma mexicanum)

Advanced Biology, EarlyView.
The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez, Nicolás Alcaraz, Karla Torres‐Arciga, José Antonio Ocampo‐Cervantes, Alejandra Cervera, Clementina Castro‐Hernández, Cynthia Gabriela Sámano‐Salazar, Ernesto Soto‐Reyes, Rodrigo González‐Barrios   +8 more
wiley   +1 more source