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Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification Linyi Yang1 , Eoin M. Kenny1 , Tin Lok James Ng2 , Yi Yang3 , Barry Smyth1 , and Ruihai Dong1
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How to fill out on generating plausible counterfactual

01
Identify the event or scenario to analyze.
02
Determine the key factors or variables involved in the event.
03
Consider alternative outcomes based on different decisions or events.
04
Create a timeline of events leading to the original outcome.
05
Generate plausible scenarios that could have led to different outcomes by altering one or more key factors.
06
Use logical reasoning to ensure that the counterfactuals are realistic and consistent.
07
Evaluate the implications of each counterfactual scenario.

Who needs on generating plausible counterfactual?

01
Researchers working in social sciences and history.
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Policy makers looking to understand the impact of decisions.
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Educators teaching critical thinking and analysis skills.
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Writers and storytellers exploring alternative narratives.
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Business analysts assessing potential market changes.
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Generating plausible counterfactual refers to the process of creating hypothetical scenarios that explore what could have happened if different decisions or conditions had been present.
Typically, researchers, policymakers, and analysts engaged in comparative analysis or evaluation studies are required to file on generating plausible counterfactual.
To fill out on generating plausible counterfactual, one must identify the key variables and assumptions, create alternative scenarios, and document the reasoning and methodology used to support the counterfactuals.
The purpose of generating plausible counterfactual is to better understand causal relationships and the impact of different actions or events, thereby informing decision-making and policy formulation.
Information that must be reported includes the original scenario, the alternative scenarios created, assumptions made, and the expected outcomes of each scenario.
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