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Word embedding

An analysis of unconscious gender bias in academic texts by means of a decision algorithm

Pedro Orgeira-Crespo, Carla Míguez-Álvarez, Miguel Cuevas-Alonso, Elena Rivo-López

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

Measuring relative opinion from location-based social media: A case study of the 2016 U.S. presidential election

Zhaoya Gong, Tengteng Cai, [ ... ], Mark Graham

Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients

Maria Mahbub, Sudarshan Srinivasan, [ ... ], Gregory D. Peterson

UICD: A new dataset and approach for urdu image captioning

Rimsha Muzaffar, Syed Yasser Arafat, [ ... ], Usman Naseem

Applying Internet information technology combined with deep learning to tourism collaborative recommendation system

Meng Wang

Learning linear transformations between counting-based and prediction-based word embeddings

Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi

FakeStack: Hierarchical Tri-BERT-CNN-LSTM stacked model for effective fake news detection

Ashfia Jannat Keya, Hasibul Hossain Shajeeb, Md. Saifur Rahman, M. F. Mridha

Beyond opinion classification: Extracting facts, opinions and experiences from health forums

Jorge Carrillo-de-Albornoz, Ahmet Aker, Emina Kurtic, Laura Plaza

Recurrent convolutional neural kernel model for stock price movement prediction

Suhui Liu, Xiaodong Zhang, Ying Wang, Guoming Feng

Deep neural model with self-training for scientific keyphrase extraction

Xun Zhu, Chen Lyu, [ ... ], Fei Li

Multitask feature learning approach for knowledge graph enhanced recommendations with RippleNet

YueQun Wang, LiYan Dong, YongLi Li, Hao Zhang

Multi-feature fusion framework for sarcasm identification on twitter data: A machine learning based approach

Christopher Ifeanyi Eke, Azah Anir Norman, Liyana Shuib

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