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

Incremental learning of word embeddings with context informativeness.

Benchmarks for intrinsic word embeddings evaluation.

Indra is a Web Service which allows easy access to different distributional semantics models in several languages.

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

RDT: Russian Distributional Thesaurus (Русский Дистрибутивный Тезаурус)

A system for unsupervised knowledge-free interpretable word sense disambiguation based on distributional semantics

Distributional Formal Semantics (DFS) tools

A system for word sense induction and disambiguation based on JoBimText approach

Web based semantic visualization tool

State-of-the-art count-based word embeddings for low-resource languages with a special focus on historical languages.

Correlated Occurrence Analogue to Lexical Semantics (COALS)

An educational implementation of some aspects of the DisCoCat framework

A package to download and preprocess a Wikipedia dump, in any language.

Noun Compositionality Detection Using Distributional Semantics for the Russian Language

bachelors thesis

Using distibuctional semantics (word2vec family algorithms and the CADE framework) to learn word embeddings from the Italian literary corpuses we generated.

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.