Results 31 to 40 of about 2,690,170 (252)

Chinese Overlapping Named Entity Recognition Method Based on Label Clustering [PDF]

Jisuanji gongcheng, 2020
To address complex nested relations between named entities and overlapping boundaries of adjacent named entities caused by mislabeling in corpus,this paper proposes a method of Chinese overlapping Named Entity Recognition(NER).First,a hierarchical ...
WEN Xiuxiu, MA Chao, GAO Yuanyuan, KANG Zilu
doaj   +1 more source

Cancer‐associated mutations in endometriosis reframe a benign disease through molecular oncology

Molecular Oncology, EarlyView.
This review aims to comprehensively analyse cancer‐associated somatic mutations (CAMs) present in endometriotic lesions, emphasizing their biological roles, spatial distribution and implications for translational applications in medicine. By contextualizing a benign state within a genomic framework, this analysis seeks to establish its value as a ...
Clarissa Mujacic, Maria Concetta Vitale, Rita Siino, Emilia Di Giovanni, Carla Ferrante Bannera, Enrico Di Marco, Andrea Gottardo, Tancredi Didier Bazan Russo, Nadia Barraco, Alessandro Perez, Valerio Gristina, Antonio Galvano, Giuseppe Badalamenti, Antonio Russo, Viviana Bazan, Lorena Incorvaia   +15 more
wiley   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Automatic Construction of Chinese Nested Named Entity Recognition Corpus Based on Wikipedia [PDF]

Jisuanji gongcheng, 2018
Traditional supervised learning method needs to label the corpus in a certain scale,which limits its domain adaptability.Therefore,a method of automatically constructing a Chinese nested named entity recognition corpus from Chinese Wikipedia entries is ...
LI Yanqun,HE Yunqi,QIAN Longhua,ZHOU Guodong
doaj   +1 more source

An automatically built named entity lexicon for Arabic [PDF]

, 2010
We have successfully adapted and extended the automatic Multilingual, Interoperable Named Entity Lexicon approach to Arabic, using Arabic WordNet (AWN) and Arabic Wikipedia (AWK).
Attia, Mohammed, Monachini, Monica, Toral, Antonio, Tounsi, Lamia, van Genabith, Josef   +4 more
core   +2 more sources

Optimising Selective Sampling for Bootstrapping Named Entity Recognition [PDF]

, 2005
Training a statistical named entity recognition system in a new domain requires costly manual annotation of large quantities of in-domain data. Active learning promises to reduce the annotation cost by selecting only highly informative data points.
Hachey, Benjamin Clayton, Hachey, Ben, Grover, Claire, Grover, Claire; id_orcid, Alex, Beatrice, Becker, Markus   +5 more
core  

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

AWdpCNER: Automated Wdp Chinese Named Entity Recognition from Wheat Diseases and Pests Text

Agriculture, 2023
Chinese named entity recognition of wheat diseases and pests is an initial and key step in constructing knowledge graphs. In the field of wheat diseases and pests, there are problems, such as lack of training data, nested entities, fuzzy entity ...
Demeng Zhang, Guang Zheng, Hebing Liu, Xinming Ma, Lei Xi   +4 more
doaj   +1 more source

GelMA‐based 3D spheroids recapitulate transcriptomic and functional hallmarks of myeloid sarcoma

FEBS Open Bio, EarlyView.
GelMA 5% hydrogels support the formation of myeloid leukemia spheroids that recapitulate MS‐specific features, including G1 arrest, apoptosis, and ECM‐driven transcriptomic reprogramming. The 3D model mimicked soft‐tissue‐like stiffness and oxygen conditions, and transcriptomic convergence with primary MS samples confirmed its utility as a preclinical ...
Nicolas Germain, Elise Buret, Le Hoang Thanh Nguyen, Marion Cocheteux, Nicolas Touya, Mélanie Dhayer, Romain Dubois, Frank Lafont, Sebastien Janel, Patrice Maboudou, Steve Lancel, Philippe Marchetti   +11 more
wiley   +1 more source

Named entity recognition method based on multi-granularity cognition

四川大学学报. 自然科学版, 2022
In the field of data scarcity, the performance of named entity recognition is limited by the expression of underfitting word features. The named entity recognition effect can be improved by introducing conventional multitask learning methods, but ...
LI Pan-Feng, CHEN Ying-Jue, ZHONG Ling-Yun, LIN Feng   +3 more
doaj