Iterative Named Entity Recognition with Conditional Random Fields

A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation

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Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems

(2021) Xin Luo et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Named Entity Recognition for Sensitive Data Discovery in Portuguese

(2020) Mariana Dias et al.   Applied Sciences-Basel

Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data

(2020) Di Wu et al.   IEEE-CAA Journal of Automatica Sinica

A Survey on Deep Learning for Named Entity Recognition

(2020) Jing Li et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis

(2020) Xin Luo et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A combination of active learning and self-learning for named entity recognition on Twitter using conditional random fields

(2017) Van Cuong Tran et al.   KNOWLEDGE-BASED SYSTEMS

Accelerating the annotation of sparse named entities by dynamic sentence selection

(2008) Yoshimasa Tsuruoka et al.   BMC BIOINFORMATICS