Attention Models for Sentiment Analysis Using Objectivity and Subjectivity Word Vectors

[1]  Christopher Potts,et al.  Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank , 2013, EMNLP.

[2]  Omer Levy,et al.  GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding , 2018, BlackboxNLP@EMNLP.

[3]  Jason Weston,et al.  A unified architecture for natural language processing: deep neural networks with multitask learning , 2008, ICML '08.

[4]  Yoshua Bengio,et al.  Attention-Based Models for Speech Recognition , 2015, NIPS.

[5]  Yoshua Bengio,et al.  A Neural Probabilistic Language Model , 2003, J. Mach. Learn. Res..

[6]  Sanja Fidler,et al.  Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[7]  Jason Weston,et al.  Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..

[8]  Eduardo Valle,et al.  Knowledge transfer for melanoma screening with deep learning , 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

[9]  Jeffrey Dean,et al.  Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.

[10]  Tomas Mikolov,et al.  Enriching Word Vectors with Subword Information , 2016, TACL.

[11]  Julian J. McAuley,et al.  Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering , 2016, WWW.

[12]  Jaewoo Kang,et al.  BioBERT: a pre-trained biomedical language representation model for biomedical text mining , 2019, Bioinform..

[13]  Iryna Gurevych,et al.  Automatically Creating Datasets for Measures of Semantic Relatedness , 2006, ACL 2006.

[14]  Xiaowei Luo,et al.  Transfer learning and deep convolutional neural networks for safety guardrail detection in 2D images , 2018 .

[15]  Bo Pang,et al.  Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.

[16]  Luke S. Zettlemoyer,et al.  Deep Contextualized Word Representations , 2018, NAACL.

[17]  Iryna Gurevych,et al.  Using the Structure of a Conceptual Network in Computing Semantic Relatedness , 2005, IJCNLP.

[18]  Hady W. Lauw,et al.  Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings , 2018, ACL.

[19]  Ming-Wei Chang,et al.  BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.