ICLR 2018 Quick-Thought vectors
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Updated
Jul 15, 2019 - Python
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sent2vec
Here are 4 public repositories matching this topic...
How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.
nlp
machine-learning
natural-language-processing
ai
word2vec
artificial-intelligence
nlp-machine-learning
sentence-embeddings
sent2vec
encode-sentences
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Updated
Jun 30, 2022 - Python
Finding look alike sentences by leveraging the concept of semantic similarities pre-learned by transformer models while pre-training task. I've used cosine similarity as an angular distance matrix applied over sent2vec.
transformer
semantic-similarity
cosine-similarity
sent2vec
bert-embeddings
angular-distance
huggingface-fast-tokenizer
pooled-output
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Updated
Jul 29, 2022 - Python
An approach to improve word sense induction systems (WSI) for web search result clustering. Exploring the boundaries of vector space models for the WSI Task. CHERTOY system. Chernenko, Tatjana and Toyota, Utaemon Institute for Computational Linguistics of University Heidelberg. 2017/2018
search-engine
data-science
clustering
optimization
word2vec
word-sense-induction
data-preprocessing
data-processing
web-search
search-engine-optimization
wsi
sent2vec
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Updated
Jan 7, 2024 - Python
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