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

Measuring associational thinking through word embeddings

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

Incorrect class definition · Issue #4676 · ultralytics/ultralytics · 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

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

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

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

PDF] Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction

PDF) Semantic Similarity from Natural Language and Ontology Analysis

Solved: Need help parsing a TXT file with non-standard del - Alteryx Community

do-not-merge-wip-for-github/LICENSE.txt at master · sanemat/do-not -merge-wip-for-github · GitHub

Could not find a version that satisfies the requirement turicreate · Issue #81 · apple/turicreate · 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