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Word embedding

The Cinderella Complex: Word embeddings reveal gender stereotypes in movies and books

Huimin Xu, Zhang Zhang, Lingfei Wu, Cheng-Jun Wang

"What is relevant in a text document?": An interpretable machine learning approach

Leila Arras, Franziska Horn, [ ... ], Wojciech Samek

Hate speech detection and racial bias mitigation in social media based on BERT model

Marzieh Mozafari, Reza Farahbakhsh, Noël Crespi

Word2vec convolutional neural networks for classification of news articles and tweets

Beakcheol Jang, Inhwan Kim, Jong Wook Kim

Artificial Intelligence in mental health and the biases of language based models

Isabel Straw, Chris Callison-Burch

Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives

Sebastian Gehrmann, Franck Dernoncourt, [ ... ], Leo A. Celi

“Is a picture really worth a thousand words?”: A case study on classifying user attributes on Instagram

Junho Song, Kyungsik Han, Dongwon Lee, Sang-Wook Kim

Measuring novelty in science with word embedding

Sotaro Shibayama, Deyun Yin, Kuniko Matsumoto

FastEmbed: Predicting vulnerability exploitation possibility based on ensemble machine learning algorithm

Yong Fang, Yongcheng Liu, Cheng Huang, Liang Liu

Automatic extraction of gene-disease associations from literature using joint ensemble learning

Balu Bhasuran, Jeyakumar Natarajan

Attention based automated radiology report generation using CNN and LSTM

Mehreen Sirshar, Muhammad Faheem Khalil Paracha, [ ... ], Tatheer Fatima

Feature engineering for sentiment analysis in e-health forums

Jorge Carrillo-de-Albornoz, Javier Rodríguez Vidal, Laura Plaza

Self Multi-Head Attention-based Convolutional Neural Networks for fake news detection

Yong Fang, Jian Gao, [ ... ], Runpu Wu

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