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
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
do-not-merge-wip-for-github/LICENSE.txt at master · sanemat/do-not -merge-wip-for-github · GitHub
PDF) Semantic Similarity from Natural Language and Ontology Analysis
MapDeserializer` can not merge `Map`s with polymorphic values · Issue #2336 · FasterXML/jackson-databind · GitHub
Wasf-Vec: Topology-based Word Embedding for Modern Standard Arabic and Iraqi Dialect Ontology
Measuring associational thinking through word embeddings
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
Add `PropertyNamingStrategies.UpperSnakeCaseStrategy` (and `UPPER_SNAKE_CASE` constant) · Issue #3238 · FasterXML/jackson-databind · GitHub
PDF) Unsupervised learning of cross-modal mappings between speech and text
Measuring associational thinking through word embeddings
PDF) Extracting Word Synonyms from Text using Neural Approaches
Analogical inference from distributional structure: What recurrent neural networks can tell us about word learning - ScienceDirect
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