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Found 6 papers, 3 papers with code
Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool
Second, we present our tool-supported approach called ESG-Miner capable of analyzing and evaluating headlines on corporate ESG-performance automatically.
Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks
Our approach is capable of recovering the composition of causal statements written in natural language and achieves a F1 score of 74 % in the evaluation on the Causality Treebank.
Compliance Requirements in Large-Scale Software Development: An Industrial Case Study
Regulatory compliance is a well-studied area, including research on how to model, check, analyse, enact, and verify compliance of software.
Software Engineering
Automatic Detection of Causality in Requirement Artifacts: the CiRA Approach
Our case study corroborates, among other things, that causality is, in fact, a widely used linguistic pattern to describe system behavior, as about a third of the analyzed sentences are causal.
Software Engineering
Assets in Software Engineering: What are they after all?
A precise terminology of assets and related concepts, such as asset degradation, are crucial for setting up a new generation of cost-effective software engineering practices.
Software Engineering
Empirical Standards for Software Engineering Research
Empirical Standards are natural-language models of a scientific community's expectations for a specific kind of study (e. g. a questionnaire survey).
Software Engineering General Literature
