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

PDF) Extracting Word Synonyms from Text using Neural Approaches

PDF) Evaluating Word Embedding Models: Methods and Experimental Results

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

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

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

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

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

PDF) Semantic Similarity from Natural Language and Ontology Analysis

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

Measuring associational thinking through word embeddings

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

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

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