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searching for Word embedding 8 found (48 total)

Lexical substitution (534 words) [view diff] case mismatch in snippet view article find links to article

Human. Melamud, Oren; Levy, Omer; Dagan, Ido (5 June 2015). "A Simple Word Embedding Model for Lexical Substitution". Proceedings of NAACL-HLT 201: 1–7.

Meitei language (6,147 words) [view diff] exact match in snippet view article find links to article

ALBERT model available for Meitei language. EM-FT is also FastText word embedding available for Meitei language. These resources were created by Rudali

Curse of dimensionality (4,196 words) [view diff] case mismatch in snippet view article find links to article

S2CID 206592766. Yin, Zi; Shen, Yuanyuan (2018). "On the Dimensionality of Word Embedding" (PDF). Advances in Neural Information Processing Systems. 31. Curran

Bhojpuri language (7,144 words) [view diff] exact match in snippet view article find links to article

July 2024). "Semantic proximity assessment in Bhojpuri and Maithili: a word embedding perspective". Social Network Analysis and Mining. 14 (1): 130. doi:10

Robert Plutchik (2,154 words) [view diff] case mismatch in snippet view article find links to article

Twitter Sentiment Analysis by Combining Plutchik Wheel of Emotion and Word Embedding". International Journal of Information Technology. 14 (1): 69–77. doi:10

Hungarian spellcheckers (1,240 words) [view diff] no match in snippet view article find links to article

considered a foundational paper in modern artificial intelligence, proper word-embedding is sufficient to model even large amounts of texts.[citation needed]

Sociorobotics (3,209 words) [view diff] exact match in snippet view article find links to article

recognition. Commonly used tools include pose estimation frameworks, word embedding models for dialogue and deep neural networks for gesture generation

Open Science Monitor (4,050 words) [view diff] exact match in snippet view article find links to article

classification, this has led to the development of scientific-tagger, a word embedding model based on Fasttext and trained on two annotated databases, PASCAL