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) Evaluating Word Embedding Models: Methods and Experimental Results
GitHub - mfaruqui/non-distributional: Non-distributional linguistic word vector representations.
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Add `PropertyNamingStrategies.UpperSnakeCaseStrategy` (and `UPPER_SNAKE_CASE` constant) · Issue #3238 · FasterXML/jackson-databind · GitHub
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Solved: Need help parsing a TXT file with non-standard del - Alteryx Community
PDF) Evaluating Word Embedding Models: Methods and Experimental Results
Context-based facilitation of semantic access follows both logarithmic and linear functions of stimulus probability - ScienceDirect
iOS Ionic App: All PDF Files not showing (SintaxError: Unexpected Token '.') · Issue #657 · stephanrauh/ngx-extended-pdf-viewer · 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
Analogical inference from distributional structure: What recurrent neural networks can tell us about word learning - ScienceDirect
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