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Word embedding

Drug drug interaction extraction from the literature using a recursive neural network

Sangrak Lim, Kyubum Lee, Jaewoo Kang

An exploration of automated narrative analysis via machine learning

Sharad Jones, Carly Fox, Sandra Gillam, Ronald B. Gillam

A pre-training and self-training approach for biomedical named entity recognition

Shang Gao, Olivera Kotevska, Alexandre Sorokine, J. Blair Christian

Jointly learning word embeddings using a corpus and a knowledge base

Mohammed Alsuhaibani, Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi

A natural language processing and deep learning approach to identify child abuse from pediatric electronic medical records

Akshaya V. Annapragada, Marcella M. Donaruma-Kwoh, Ananth V. Annapragada, Zbigniew A. Starosolski

Wide range screening of algorithmic bias in word embedding models using large sentiment lexicons reveals underreported bias types

David Rozado

Word synonym relationships for text analysis: A graph-based approach

Hend Alrasheed

Enhancing machine learning-based sentiment analysis through feature extraction techniques

Noura A. Semary, Wesam Ahmed, [ ... ], Mohamed Hammad

English colour terms carry gender and valence biases: A corpus study using word embeddings

Domicele Jonauskaite, Adam Sutton, Nello Cristianini, Christine Mohr

Identify novel elements of knowledge with word embedding

Deyun Yin, Zhao Wu, [ ... ], Sotaro Shibayama

KG2Vec: A node2vec-based vectorization model for knowledge graph

YueQun Wang, LiYan Dong, [ ... ], Hao Zhang

SAO2Vec: Development of an algorithm for embedding the subject–action–object (SAO) structure using Doc2Vec

Sunhye Kim, Inchae Park, Byungun Yoon

Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN

Xishuang Dong, Shanta Chowdhury, [ ... ], Qiubin Yu

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