Results 31 to 40 of about 221,296 (163)

A Deep Learning-Based Approach for Part of Speech (PoS) Tagging in the Pashto Language

IEEE Access
A fundamental task in natural language processing (NLP) is part of speech (PoS) tagging. PoS tagging is crucial to many NLP applications, including question answering, machine translation, syntactic parsing, speech recognition, and semantic parsing.
Shaheen Ullah, Riaz Ahmad, Abdallah Namoun, Siraj Muhammad, Khalil Ullah, Ibrar Hussain, Isa Ali Ibrahim   +6 more
doaj   +1 more source

Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction [PDF]

Journal of Data Mining and Digital Humanities
Syntactic annotation of corpora in the form of part-of-speech (POS) tags is a key requirement for both linguistic research and subsequent automated natural language processing (NLP) tasks.
Stefan Heid, Marcel Wever, Eyke Hüllermeier   +2 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

A cascaded unsupervised model for PoS tagging [PDF]

, 2020
This is an accepted manuscript of an article published by ACM in ACM Transactions on Asian and Low-Resource Language Information Processing in March 2021.
Can, Burcu, Bölücü, Necva
core   +1 more source

Super‐Multiplexed Label‐Free Raman Imaging Uncovers Novel Testicular Metabolic Couplings for Residual Body and Spermatogonial Differentiation

Advanced Science, EarlyView.
Super‐multiplexed Label‐free Raman Imaging (SLRI) enables 2D/3D metabolic mapping of intact Drosophila testes. Moving beyond descriptive morphology, it establishes a multidimensional tool for tissue metabolic remodeling, and offers a generalizable platform for complex tissue analysis, with implications extending to development and disease. ABSTRACT The
Jiaxin Li, Xia Chen, Yujuan Qi, Chen Qiao, Qiuru Huang, Dan Zhao, Weiyi Qian, Li Di, Yi Shi, Xiangqi Hu, Yueyue Shao, Kehan Wang, Zhiyu Tang‐Yang, Hanzhi Zang, Yuwen Du, Anran Dong, Jinxiong Feng, Jiayun Chen, Ying Zheng, Xiaofang Tan, Xiaoyu Zhao, Zhonghua Shi, Bo Zheng, Jun Yu   +23 more
wiley   +1 more source

A Rare De Novo Missense Mutation in IFT122 Confers a Genetic Susceptibility Factor of Idiopathic Pediatric Uveitis Via Trio‐based Whole‐Exome Sequencing

Advanced Science, EarlyView.
A rare de novo IFT122‐A773E variant is identified in idiopathic pediatric uveitis and shown to exacerbate retinal inflammation and barrier dysfunction. Mechanistically, the variant enhances IFT43 interaction, elevates calcium signaling, and activates the MEK/ERK/FRA1 axis, revealing a previously unrecognized cilia‐associated pathway that may increase ...
Qian Zhou, Jiaxing Huang, Yilin Wang, Xingran Li, Xianyang Liu, Lingyu Dai, Hongshun Li, Qingfeng Wang, Jiangyi Liu, Guannan Su, Wanyun Zhang, Yang Deng, Qingfeng Cao, Yujie Lai, Xiang Luo, Changwei Huang, Ling Chen, Shengping Hou, Peizeng Yang   +18 more
wiley   +1 more source

Uncoupling Type I Interferon Benefits From Inflammatory Toxicity: Transformer‐Prioritized Precision Agonists for Potent and Safer Cancer Immunotherapy

Advanced Science, EarlyView.
A Transformer‐based AI framework, DLINP, screens millions of compounds to identify Co68, a cobalt‐pincer organometallic complex that biases TLR4‐MD2 signaling toward antitumor interferon activation while suppressing inflammatory toxicity through an early TLR4‐SYK‐STAT1 axis.
Xuefei Guo, Yang Zhao, Xianle Rong, Xingyu Chen, Xiao Wang, Tianyi Liu, Yunfei Xie, Yushu Zou, Pingsen Zhao, Qiang Liu, Fuping You   +10 more
wiley   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source

Developing an Android Application for Analyzing Indonesian Syntax: A Rule and Probability-Based POS Tagging Approach

REiLA
The investigation of the grammatical level of syntax, particularly Indonesian, focuses exclusively on sentence formation and does not include the corpus.
Herpindo Herpindo, Ristiyani Ristiyani, Miftahula Rizqin Nikmatullah, Ratih Ngestrini   +3 more
doaj   +1 more source

Parts-of-speech tagger for Sindhi language using deep neural network architecture

Mehran University Research Journal of Engineering and Technology
Language is a fundamental medium for human communication, encompassing spoken and written forms, each governed by grammatical rules. Sindhi, one of the oldest languages, is characterized by its rich morphology and grammatical structure.
Adnan Ali Memon, Saman Hina, Abdul Karim Kazi, Saad Ahmed   +3 more
doaj   +1 more source