A Few Topical Tweets are Enough for Effective User-Level Stance Detection

7 April 2020

Papers citing "A Few Topical Tweets are Enough for Effective User-Level Stance Detection"

11 / 11 papers shown

Title
STANCY: Stance Classification Based on Consistency Cues Kashyap Popat Subhabrata Mukherjee Andrew Yates Gerhard Weikum 44 42 0 14 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut SSL AIMat 230 6,420 0 26 Sep 2019
Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media Abeer Aldayel Walid Magdy 16 88 0 08 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 336 24,160 0 26 Jul 2019
Cross-lingual Language Model Pretraining Guillaume Lample Alexis Conneau 41 2,727 0 22 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 751 93,936 0 11 Oct 2018
Deep contextualized word representations Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer NAI 70 11,520 0 15 Feb 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 86 9,312 0 09 Feb 2018
Bag of Tricks for Efficient Text Classification Armand Joulin Edouard Grave Piotr Bojanowski Tomas Mikolov VLM 57 4,596 0 06 Jul 2016
MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection Guido Zarrella A. Marsh 28 192 0 13 Jun 2016
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 494 31,406 0 16 Jan 2013