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I see word embeddings as some potentially low hanging fruit for a more robust product. Namely, word embeddings, such as GloVe, are (A) additive and (B) can quantify the similarity between words/phrase…
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Is it possible to start model training (main.py) from existing word embeddings like Fasttext?
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Pose a question about one of the following articles:
[“The Geometry of Culture: Analyzing the Meanings of Class through Word Embeddings.”](https://journals.sagepub.com/doi/full/10.1177/00031224198…
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Hola,
Estoy intentando descargar los siguientes embeddings pero parecería ser que el link no funciona. No se si es un problema de link o tal vez existe una versión más actual de los mismos.
Much…
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Hi, I am interested in the prompt proposed in your paper to get sentence embeddings.
I wonder if I can directly use your prompt in other open-source LLM, e.g. LLAMA 3, to get meaningful sentence embe…
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When trying to run aligner.py (after the prepro code to get snli data, vocab, word embedding) I get the following error. Could you please provide the precomputed word embeddings with the correct numbe…
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Implement a baseline network and compare the results against different word embeddings (Embedding layer - keras, GloVe, ELMO, other).
Report the results.
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If Glove word embeddings is assigned before tf.global_variables_initializer(). The embedding will be randomly initialized. It will not use Glove word embeddings.
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@dennybritz
Hi ,
First of all many thanks for sharing your code. I am trying to use pretrained word embeddings instead of randomly initialized word embedings based on the vocabulary size.
My pre…
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Does the framework support using of pre-trained word embeddings (Word2Vec or Glove)?