There are 1 repository under distributional-semantics topic.
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
A system for unsupervised knowledge-free interpretable word sense disambiguation based on distributional semantics
State-of-the-art count-based word embeddings for low-resource languages with a special focus on historical languages.
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
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.
This repository hosts materials from the Bertinoro International Spring School 2024 course
A system for inducing distributional sense-aware semantic classes labeled with hypernyms
Exploration of NLP tasks such as cosine similarity between term definitions, onomasiological research, valence theory, text segmentation, topic modeling and formal concept analysis.
Pretrained word and multi-sense embeddings for Estonian
Train Distributional Semantic Models on UIUC Learning and Language Lab Compute System
A benchmark for embeddings evaluation for Kyrgyz language
experiments on anomaly detection for a poster paper presented on russir'17
Third Assignment in 'NLP - Natural Languages Processing' course by Prof. Yoav Goldberg, Prof. Ido Dagan and Prof. Reut Tsarfaty at Bar-Ilan University
A variety of projects utilizing Natural Language Processing within different contexts.
Repo for the Findings of ACL 2021 paper: Representing Syntax and Composition with Geometric Transformations