4.6 Article

Semi-Supervised Bidirectional Long Short-Term Memory and Conditional Random Fields Model for Named-Entity Recognition Using Embeddings from Language Models Representations

Related references

Note: Only part of the references are listed.
Article Physics, Multidisciplinary

Tweets Classification on the Base of Sentiments for US Airline Companies

Furqan Rustam et al.

ENTROPY (2019)

Article Computer Science, Software Engineering

A New Ensemble Semi-supervised Self-labeled Algorithm

Ioannis Livieris

INFORMATICA-JOURNAL OF COMPUTING AND INFORMATICS (2019)

Article Education & Educational Research

Predicting Secondary School Students' Performance Utilizing a Semi-supervised Learning Approach

Ioannis E. Livieris et al.

JOURNAL OF EDUCATIONAL COMPUTING RESEARCH (2019)

Article Computer Science, Information Systems

Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation

Jiaheng Xie et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2018)

Article Acoustics

Cross-Domain and Semisupervised Named Entity Recognition in Chinese Social Media: A Unified Model

Jingjing Xu et al.

IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2018)

Article Physics, Multidisciplinary

LSTM-CRF for Drug-Named Entity Recognition

Donghuo Zeng et al.

ENTROPY (2017)

Article Computer Science, Theory & Methods

Hadoop Recognition of Biomedical Named Entity Using Conditional Random Fields

Kenli Li et al.

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2015)

Article Computer Science, Information Systems

Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features

Azadeh Nikfarjam et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2015)

Article Computer Science, Artificial Intelligence

Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study

Isaac Triguero et al.

KNOWLEDGE AND INFORMATION SYSTEMS (2015)

Article

Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]

O. Chapelle et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2009)

Article Computer Science, Interdisciplinary Applications

Feature selection techniques for maximum entropy based biomedical named entity recognition

Sujan Kumar Saha et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2009)

Article Computer Science, Artificial Intelligence

Semantic annotation and search of cultural-heritage collections: The MultimediaN E-Culture demonstrator

Guus Schreiber et al.

JOURNAL OF WEB SEMANTICS (2008)