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If we do not provide embedding like word2vec, how does it know to represent the words?
Does it use one hot encoding by default or ngram, CBOW, skip grams?
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Compared with CBOW, skip-gram and GloVe, what is the effect of embedding words with BERT? I think it's a very interesting question.
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As the title, I wonder whether
./fastText supervised
will utilize the fastText embedding such as skip-gram or CBOW when training the classifier or not.
Thanks :D
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**Is your feature request related to a problem? Please describe.**
I've noticed that the community is rolling out a new feature for accelerating queries with Bloom filters, which is a significant…
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**Elasticsearch version** (`bin/elasticsearch --version`): 7.6.2
**Description of the problem including expected versus actual behavior**:
FVH doesn't work with some combinations of ngram tokenize…
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An ONNXified TF-IDF vectorizer while during batch inference is dropping out-of-vocabulary texts whereas the expected behaviour is it should return zero vectors for those out-of-vocabulary texts.
E…
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### Running own acoustic model + dictionary with given ENVR-v5.3 language models. Everything were fine before building HMM lexicon tree. Got cmd line error message: "wchmm_add_word: CDSET phoneme exis…
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## Audio SSL
SSL的思想可以抽象为让模型学习对应的数据的内在空间结构和表达,SSL在audio上的效果要差于NLP和CV,这体现在:
1. 现实生活中音频的不确定性,比如人与人之间、甚至是个人的不同时期,不同情绪下说话的差异,气息、声调都有区别,录音设备的不同和摆放方式也会导致数据的差异,这使得SSL较难学到声音的潜在结构;
2. 不同噪声对音频的叠加干扰,会扭曲SSL学习…
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We should add Skip-list embedding as well as CBOW embedding.
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Thanks for sharing the code!
Sorry if the question is silly - my understanding of word embeddings is still premature and lack the required math background:
Should the SignalMatrix implementation f…