Results 131 to 140 of about 526,193 (325)

Relation Extraction Using Semantic Information

Computational Linguistics, 2023
Jian Xu, Qin Lu, Minglei Li
doaj   +1 more source

Relation Semantic Guidance and Entity Position Location for Relation Extraction

Data Science and Engineering
Relation extraction is a research hot-spot in the field of natural language processing, and aims at structured knowledge acquirement. However, existing methods still grapple with the issue of entity overlapping, where they treat relation types as ...
Guojun Chen, Panfeng Chen, Hui Li, Xibin Wang, Xin Zhou, Aihua Yu, Xingzhi Deng, Qi Wang   +7 more
doaj   +1 more source

Conversion of Transplanted Mature Hepatocytes into Afp+ Reprogrammed Cells for Liver Regeneration After Injury

Advanced Science, EarlyView.
Donor‐derived tdTomato+ mature hepatocytes were FACS‐isolated and transplanted into Fah−/− host mice. During regeneration, these cells convert into proliferative, unipotent Afp+ rHeps. Their plasticity is governed by a PPARγ/AFP‐dependent metabolic switch, segregating into pro‐proliferative Afplow and pro‐survival Afphigh subpopulations.
Ting Fang, Chao Yang, Hua Qiu, Yuan Du, Xicheng Wang, Yuting Li, Mingyang Xu, Changcheng Liu, Xiuhua Li, Na Guo, Jun Shi, Wencheng Zhang, Zhiying He   +12 more
wiley   +1 more source

INDONESIAN MIDDLE SCHOOL STUDENTS DESCRIPTIVE ESSAY: TAXIS AND LOGICO-SEMANTIC ANALYSIS OF CLAUSE COMPLEX

Tell-us Journal
The English language teaching in Indonesia focuses on text or genre, making applying systemic functional linguistics important in writing. However, students struggle with grammar, vocabulary, and constructing words into syntactical construction.
Dahia Alqalbi Nursehag
doaj   +1 more source

Image Semantic Relation Generation

, 2022
Scene graphs provide structured semantic understanding beyond images. For downstream tasks, such as image retrieval, visual question answering, visual relationship detection, and even autonomous vehicle technology, scene graphs can not only distil complex image information but also correct the bias of visual models using semantic-level relations, which
openaire   +2 more sources

IDRNet: Intervention-Driven Relation Network for Semantic Segmentation [PDF]

, 2023
Zhenchao Jin, Xiaowei Hu, Lingting Zhu, Luchuan Song, Yuan Li, Lequan Yu   +5 more
openalex   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

Advanced Science, EarlyView.
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi, Yingzhu Tan, Huikang Lin, Guoqing Zhang, Ye Tian, Aibo Wu   +5 more
wiley   +1 more source

A study of Semantics Fields as a means of the Text Construction: based on the on Russian and Chinese Poems

RUDN Journal of Language Studies, Semiotics and Semantics, 2011
In this article semantic field has been studied as a means of text construction, which is a challenge to the traditional way of study it within the field of lexicology.
- Li Chunrong
doaj  

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

Advanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan, Jiating Yu, Jieyi Pan, Fan Yuan, Jiadong Ji, Rusong Zhao, Zhi‐Ping Liu, Bingqiang Liu, Ling‐Yun Wu, Duanchen Sun   +9 more
wiley   +1 more source

Bio-semantic relation extraction with attention-based external knowledge reinforcement. [PDF]

BMC Bioinformatics, 2020
Li Z, Lian Y, Ma X, Zhang X, Li C.
europepmc   +1 more source