The phrase "a generic framework for" is correct and usable in written English.
It can be used when discussing a broad structure or system that can be applied to various situations or contexts.
Example: "The researchers developed a generic framework for analyzing data across different fields of study."
Alternatives: "a broad structure for" or "a general model for".
In this paper, we presented Sherlock, a generic framework for generating educational quizzes using linked data.
Furthermore, Sherlock also provides a generic framework for generating quizzes of multiple domains with minimum human effort, and its effectiveness has been evaluated on datasets from three different domains.
In summary, Sherlock offers two distinctive features compared to existing systems: (1) it provides a generic framework for generating quizzes of multiple domains with minimum human effort and (2) it introduces a mechanism for controlling the difficulty level of the generated quizzes based on a novel hybrid semantic similarity measure TF-IDF (LD).
In another set of experiments, we further evaluate Sherlock as a generic framework for quiz generation by testing the system on datasets from three different domains.
Another key contribution of this paper is that we developed a generic framework for semi-automatic quiz generation, which can be reused in different domains with minimum human efforts.
We present a generic framework for permutation inference for complex general linear models (glms) when the errors are exchangeable and/or have a symmetric distribution, and show that, even in the presence of nuisance effects, these permutation inferences are powerful while providing excellent control of false positives in a wide range of common and relevant imaging research scenarios.
The present efforts to detect the spread of misinformation in online social networks can be broadly classified with relation to the questions of consistency of message, coherency of message, credibility of source and general acceptability as given in Section "A generic framework for detection of spread of misinformation".
In general, systems biology can benefit from using OPM as a generic framework for knowledge capture and representation, particularly since it enables balanced and unified representation of the system's structure and behavior using both objects and processes in the same diagram.
Pershing noted that Copenhagen provides a generic framework for assistance, but that the next steps are procedural.
SUTime was developed using TokensRegex, a generic framework for definining patterns over text and mapping to semantic objects.
A generic framework for designing DTs to support participatory planning in the forest sector is proposed.
