non-distributional/lexicons/antonyms.txt at master · mfaruqui/non-distributional · GitHub

Non-distributional linguistic word vector representations. - non-distributional/lexicons/antonyms.txt at master · mfaruqui/non-distributional

Wasf-Vec: Topology-based Word Embedding for Modern Standard Arabic and Iraqi Dialect Ontology

GitHub - thu-ml/unidiffuser: Code and models for the paper One Transformer Fits All Distributions in Multi-Modal Diffusion

How does word2vec deal with multi-sense words such as 'sense' and multi-word fragments such as 'common sense'? Are these not major limitations to the embedding approach to NLP in general? - Quora

iOS Ionic App: All PDF Files not showing (SintaxError: Unexpected Token '.') · Issue #657 · stephanrauh/ngx-extended-pdf-viewer · GitHub

Measuring associational thinking through word embeddings

PDF) Semantic Similarity from Natural Language and Ontology Analysis

Analogical inference from distributional structure: What recurrent neural networks can tell us about word learning - ScienceDirect

A Knowledge-Enriched Ensemble Method for Word Embedding and Multi-Sense Embedding

course-nlp/2-svd-nmf-topic-modeling.ipynb at master · fastai/course-nlp · GitHub

PDF) Unsupervised learning of cross-modal mappings between speech and text

PDF) Semantic Similarity from Natural Language and Ontology Analysis

A Knowledge-Enriched Ensemble Method for Word Embedding and Multi-Sense Embedding

PDF) Unsupervised learning of cross-modal mappings between speech and text

GitHub - baofff/U-ViT: A PyTorch implementation of the paper All are Worth Words: A ViT Backbone for Diffusion Models.