Repo for the Findings of ACL 2021 paper: Representing Syntax and Composition with Geometric Transformations
-
Updated
May 12, 2022 - Python
Repo for the Findings of ACL 2021 paper: Representing Syntax and Composition with Geometric Transformations
Incremental learning of word embeddings with context informativeness
Explore word similarities based on distributional similarity in a corpus
Official Indra Python Client
Train Distributional Semantic Models on UIUC Learning and Language Lab Compute System
Third Assignment in 'NLP - Natural Languages Processing' course by Prof. Yoav Goldberg, Prof. Ido Dagan and Prof. Reut Tsarfaty at Bar-Ilan University
Extraction and Interpretation of Phrases
A package to download and preprocess a Wikipedia dump, in any language.
Noun Compositionality Detection Using Distributional Semantics for the Russian Language
Scripts for evaluating models for distributional semantics
State-of-the-art count-based word embeddings for low-resource languages with a special focus on historical languages.
A small collection of Python-base distributional semantic models
A system for inducing distributional sense-aware semantic classes labeled with hypernyms
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.
Incremental learning of word embeddings with context informativeness.
Add a description, image, and links to the distributional-semantics topic page so that developers can more easily learn about it.
To associate your repository with the distributional-semantics topic, visit your repo's landing page and select "manage topics."