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Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings
  Call Analysis

Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis

2 December 2021
Zixuan Yuan
Yada Zhu
Wei Zhang
Ziming Huang
Guangnan Ye
Hui Xiong
ArXivPDFHTML

Papers citing "Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis"

3 / 3 papers shown
Title
StonkBERT: Can Language Models Predict Medium-Run Stock Price Movements?
StonkBERT: Can Language Models Predict Medium-Run Stock Price Movements?
Stefan Pasch
D. Ehnes
AIFin
30
2
0
04 Feb 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
171
3,921
0
14 Dec 2020
Counterfactual Explanations and Algorithmic Recourses for Machine
  Learning: A Review
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
28
164
0
20 Oct 2020
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