Python tutorials as Jupyter Notebooks for NLP, ML, AI
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Updated
Nov 20, 2024 - Jupyter Notebook
Python tutorials as Jupyter Notebooks for NLP, ML, AI
Functional Meaning Representation and Semantic Parsing Framework
Frame Semantic Parser based on T5 and FrameNet
A python module to process data for Frame Semantic Parsing
Events and Situations Ontology
This repository contains the Event and implied Situation Ontology (ESO.owl), the documentation, all additional manual mappings to various (lexical) resources and the manually annotated evaluation corpus
This repository contains the CEO ontology, the evaluation corpus and the CEO vocabulary.
A REST API to query valence patterns in FrameNet
A set of scripts to import FrameNet XML data to a MongoDB database
A valence patterns search engine for FrameNet
A set of Mongoose models and utils for handling FrameNet data on a MongoDB database
A prototype UI for annotation of qualia relations between FrameNet Lexical Units inferred from an external knowledge base
NLP toolkit for semantic resource generation and processing. Supports tasks such as word sense disambiguation, named entity recognition, and semantic role labeling.
A tool to map FrameNet Lexical Units to BabelNet synsets using the distance between sentence embeddings of corresponding definitions
Four tutorials showing the application of linguistic resources and lexical ontologies such as WordNet, BabelNet and NASARI. It includes methods for measuring word similarity, mapping between Framenet and WordNet, text summarization, and evaluating semantic similarity in Italian.
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