Web-ify your word2vec: framework to serve distributional semantic models online
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Updated
May 19, 2024 - Python
Web-ify your word2vec: framework to serve distributional semantic models online
"Bootstrapping Relationship Extractors with Distributional Semantics" (Batista et al., 2015) in EMNLP'15 - Python implementation
Benchmarks for intrinsic word embeddings evaluation.
Indra is a Web Service which allows easy access to different distributional semantics models in several languages.
Incremental learning of word embeddings with context informativeness.
StarGraph (aka *graph) is a graph database to query large Knowledge Graphs. Playing with Knowledge Graphs can be useful if you are developing AI applications or doing data analysis over complex domains.
TAXI: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling
A system for unsupervised knowledge-free interpretable word sense disambiguation based on distributional semantics
A system for word sense induction and disambiguation based on JoBimText approach
This repository hosts materials from the Bertinoro International Spring School 2024 course
Code for "Multi-Ontology Refined Embeddings (MORE): A Hybrid Multi-Ontology and Corpus-based Semantic Representation Model for Biomedical Concepts" in the Journal of Biomedical Informatics.
RDT: Russian Distributional Thesaurus (Русский Дистрибутивный Тезаурус)
Web based semantic visualization tool
Using distibuctional semantics (word2vec family algorithms and the CADE framework) to learn word embeddings from the Italian literary corpuses we generated.
experiments on anomaly detection for a poster paper presented on russir'17
Linked Disambiguated Distributional Semantic Networks
A small collection of Python-base distributional semantic models
bachelors thesis
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