Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques

20 May 2024

Papers citing "Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques"

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Title
Do Prompt-Based Models Really Understand the Meaning of their Prompts? Albert Webson Ellie Pavlick LRM 109 373 0 02 Sep 2021
Non-asymptotic convergence bounds for Wasserstein approximation using point clouds Q. Mérigot F. Santambrogio Clément Sarrazin 41 28 0 15 Jun 2021
Yelp Review Rating Prediction: Machine Learning and Deep Learning Models Zefang Liu VLM 41 15 0 12 Dec 2020
The Multilingual Amazon Reviews Corpus Phillip Keung Y. Lu György Szarvas Noah A. Smith 78 202 0 06 Oct 2020
Sentiment Analysis Based on Deep Learning: A Comparative Study N. C. Dang M. García F. D. L. Prieta 90 492 0 05 Jun 2020
Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks Mert Pilanci Tolga Ergen 83 118 0 24 Feb 2020
TinyBERT: Distilling BERT for Natural Language Understanding Xiaoqi Jiao Yichun Yin Lifeng Shang Xin Jiang Xiao Chen Linlin Li F. Wang Qun Liu VLM 111 1,869 0 23 Sep 2019
Rank consistent ordinal regression for neural networks with application to age estimation Wenzhi Cao Vahid Mirjalili S. Raschka 123 210 0 20 Jan 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 324 4,294 0 21 Aug 2015