non-distributional/lexicons/antonyms.txt at master · mfaruqui/non-distributional · GitHub
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Non-distributional linguistic word vector representations. - non-distributional/lexicons/antonyms.txt at master · mfaruqui/non-distributional
PDF) Semantic Similarity from Natural Language and Ontology Analysis
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
french-badwords-list/package.json at master · darwiin/french-badwords-list · GitHub
Wasf-Vec: Topology-based Word Embedding for Modern Standard Arabic and Iraqi Dialect Ontology
Incorrect class definition · Issue #4676 · ultralytics/ultralytics · GitHub
GitHub - noob-hackers/lazybee: Create Best Wordlist From Python Tool In Termux
Add `PropertyNamingStrategies.UpperSnakeCaseStrategy` (and `UPPER_SNAKE_CASE` constant) · Issue #3238 · FasterXML/jackson-databind · GitHub
PDF] Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction
PDF) Unsupervised learning of cross-modal mappings between speech and text
PDF) Semantic Similarity from Natural Language and Ontology Analysis
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