Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents - agiresearch/Formal-LLM
A natural language understanding system nlpformal-semantics UpdatedApr 20, 2021 Python My senior thesis in linguistics formal-semanticslinguistics UpdatedApr 30, 2019 TeX fspl: Formal Semantics of Programming Languages programming-languageformal-semantics ...
The study relies on the application of Natural Language Processing (NLP) techniques, integrating tools such as Owlready2, RDFLIB, Protege 2000, and the Python programming language to achieve its goals. Three distinct approaches were evaluated for this purpose. The first approach, scenario-based, ...
They applied the model to the semantic relatedness of natural language sentences and sentiment classification. We present a ranking model based on Tree-LSTM. It considers the tree representation of the candidate walks with respect to the syntactical structure of the question in order to compute ...
Formal Reasoning About Influence in Natural Sciences Experiments Florian Bruse , Martin Lange(B) , and Sören Möller Theoretical Computer Science/Formal Methods, University of Kassel, Kassel, Germany martin.lange@uni-kassel.de Abstract. We present a simple calculus for deriving statements about ...
Spark provides a series of operations for RDD, including not only Map() and Reduce() operations but also filter(), flatMap(), groupBy(), sortBy() and other operations, which can provide developers with rich choices. It also supports APIs in Java, Python, Scala, R and other languages, ...
To perform a correct diagnosis, radiomics assists radiologists and pathologists for an objective analysis of the medical images. This is possible thanks to a Python script developed by authors for invoking the “PyRadiomics” [15] libraries: this open-source tool is written in Python and its goal...
In contrast, FM can prove “always” or “never” (!!!) – Given some assumptions (& you decide what those will be) 6 Applying formal methods to security issues • To apply FM in general: – Describe requirements using FM-based spec language – If will verify, choose & apply FM ...
natural language texts is' described The third subject of this paper is' a description of the correspondence between the inputs and outputs of the elaborated algorithm of semantic-syntactic analysis and of its advantages; the semantic representations of the input texts are the expressions of SK-...
A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of colla