Results 61 to 70 of about 2,584,993 (291)

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

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 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  

Named Entity Recognition in Context

CoRR
We present the Named Entity Recognition system developed by the Edit Dunhuang team for the EvaHan2025 competition. Our approach integrates three core components: (1) Pindola, a modern transformer-based bidirectional encoder pretrained on a large corpus of Classical Chinese texts; (2) a retrieval module that fetches relevant external context for each ...
Colin Brisson, Ayoub Kahfy, Marc Bui, Frédéric Constant   +3 more
openaire   +3 more sources

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Decreasing lexical data sparsity in statistical syntactic parsing - experiments with named entities [PDF]

, 2011
In this paper we present preliminary experiments that aim to reduce lexical data sparsity in statistical parsing by exploiting information about named entities.
Foster, Jennifer, Hogan, Deirdre, van Genabith, Josef   +2 more
core   +2 more sources

CRFVoter: gene and protein related object recognition using a conglomerate of CRF-based tools

Journal of Cheminformatics, 2019
Background Gene and protein related objects are an important class of entities in biomedical research, whose identification and extraction from scientific articles is attracting increasing interest.
Wahed Hemati, Alexander Mehler
doaj   +1 more source

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

ChineseCTRE: A Model for Geographical Named Entity Recognition and Correction Based on Deep Neural Networks and the BERT Model

ISPRS International Journal of Geo-Information, 2023
Social media is widely used to share real-time information and report accidents during natural disasters. Named entity recognition (NER) is a fundamental task of geospatial information applications that aims to extract location names from natural ...
Wei Zhang, Jingtao Meng, Jianhua Wan, Chengkun Zhang, Jiajun Zhang, Yuanyuan Wang, Liuchang Xu, Fei Li   +7 more
doaj   +1 more source

Towards large-scale, open-domain and ontology-based named entity classification [PDF]

, 2005
Cimiano P, Völker J. Towards large-scale, open-domain and ontology-based named entity classification. In: Angelova G, Bontcheva K, Mitkov R, Nicolov N, eds.
Völker, Johanna, Angelova, G., Mitkov, R., Nicolov, N., Bontcheva, K., Cimiano, Philipp ; https://orcid.org/   +5 more
core