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Finding Stakeholder-Material Information from 10-K Reports using Fine-Tuned BERT and LSTM Models
To solve the problem, I have fine-tuned BERT models and RNN models with LSTM layers to identify stakeholder-material information, defined as statements that carry information about a company's influence on its stakeholders, including customers, employees, investors, and the community and natural environment.
Machine Reading of Hypotheses for Organizational Research Reviews and Pre-trained Models via R Shiny App for Non-Programmers
The volume of scientific publications in organizational research becomes exceedingly overwhelming for human researchers who seek to timely extract and review knowledge.
Causal Knowledge Extraction from Scholarly Papers in Social Sciences
The scale and scope of scholarly articles today are overwhelming human researchers who seek to timely digest and synthesize knowledge.
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