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

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

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

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

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

mobx-state-tree] Value undefined is no MST Node with Timeseries data · Issue #1014 · HumanSignal/label-studio · GitHub

PDF) Semantic Similarity from Natural Language and Ontology Analysis

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

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

Context-based facilitation of semantic access follows both logarithmic and linear functions of stimulus probability - ScienceDirect

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