2 papers
cs.CL2024
Evaluating Large Language Models for Causal Modeling
Houssam Razouk, Leonie Benischke, Georg Niess +1
In this paper, we consider the process of transforming causal domain knowledge into a representation that aligns more closely with guidelines from causal data science. To this end,…
cs.CL2024
Increasing the Accessibility of Causal Domain Knowledge via Causal Information Extraction Methods: A Case Study in the Semiconductor Manufacturing Industry
Houssam Razouk, Leonie Benischke, Daniel Garber +1
The extraction of causal information from textual data is crucial in the industry for identifying and mitigating potential failures, enhancing process efficiency, prompting quality…