Web-ify your word2vec: framework to serve distributional semantic models online
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Updated
Feb 20, 2025 - 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
Incremental learning of word embeddings with context informativeness.
RDT: Russian Distributional Thesaurus (Русский Дистрибутивный Тезаурус)
Web based semantic visualization tool
State-of-the-art count-based word embeddings for low-resource languages.
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.
A system for inducing distributional sense-aware semantic classes labeled with hypernyms
Extraction and Interpretation of Phrases
Incremental learning of word embeddings with context informativeness
Train Distributional Semantic Models on UIUC Learning and Language Lab Compute System
Repo for the Findings of ACL 2021 paper: Representing Syntax and Composition with Geometric Transformations
Third Assignment in 'NLP - Natural Languages Processing' course by Prof. Yoav Goldberg, Prof. Ido Dagan and Prof. Reut Tsarfaty at Bar-Ilan University
Official Indra Python Client
Explore word similarities based on distributional similarity in a corpus
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