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
GitHub - alexpashevich/E.T.: Episodic Transformer (E.T.) is a novel attention-based architecture for vision-and-language navigation. E.T. is based on a multimodal transformer that encodes language inputs and the full episode history of visual
iOS Ionic App: All PDF Files not showing (SintaxError: Unexpected Token '.') · Issue #657 · stephanrauh/ngx-extended-pdf-viewer · GitHub
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
SecLists/Discovery/Web-Content/CGI-HTTP-POST.fuzz.txt at master · danielmiessler/SecLists · GitHub
PDF) Unsupervised learning of cross-modal mappings between speech and text
PDF) Semantic Similarity from Natural Language and Ontology Analysis
Analogical inference from distributional structure: What recurrent neural networks can tell us about word learning - ScienceDirect
PDF) Evaluating Word Embedding Models: Methods and Experimental Results
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