A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention

18 April 2020

Papers citing "A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention"

7 / 7 papers shown

Title
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.5K 94,511 0 11 Oct 2018
Exploiting Document Knowledge for Aspect-level Sentiment Classification Ruidan He Wee Sun Lee Hwee Tou Ng Daniel Dahlmeier 44 167 0 12 Jun 2018
Deep contextualized word representations Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer NAI 190 11,542 0 15 Feb 2018
Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention Shiliang Zheng Rui Xia 54 56 0 03 Feb 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 640 130,942 0 12 Jun 2017
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 220 9,957 0 15 Jul 2016
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 361 33,500 0 16 Oct 2013