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Word embedding

Improving the state-of-the-art in Thai semantic similarity using distributional semantics and ontological information

Ponrudee Netisopakul, Gerhard Wohlgenannt, Aleksei Pulich, Zar Zar Hlaing

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

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

Enhancing web search result clustering model based on multiview multirepresentation consensus cluster ensemble (mmcc) approach

Ali Sabah, Sabrina Tiun, [ ... ], Adil Yaseen Taha

EXSEQREG: Explaining sequence-based NLP tasks with regions with a case study using morphological features for named entity recognition

Onur Güngör, Tunga Güngör, Suzan Uskudarli

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

Isabel Straw, Chris Callison-Burch

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

Meng Wang

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

Marzieh Mozafari, Reza Farahbakhsh, Noël Crespi

Recurrent convolutional neural kernel model for stock price movement prediction

Suhui Liu, Xiaodong Zhang, Ying Wang, Guoming Feng

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

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

Deep neural model with self-training for scientific keyphrase extraction

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

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

David Rozado

Integrating questionnaire measures for transdiagnostic psychiatric phenotyping using word2vec

Aaron Sonabend W., Amelia M. Pellegrini, [ ... ], Tianxi Cai

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

Yong Fang, Yongcheng Liu, Cheng Huang, Liang Liu

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