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Post questions here for this week's exemplary readings:
3. Nelson, L. K. 2022. “[Leveraging the alignment between machine learning and intersectionality: Using word embeddings to measure intersecti…
lkcao updated
6 months ago
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https://proceedings.mlr.press/v37/kusnerb15.html
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Hi,
I am using the word embeddings that Lample has used in his paper. However, I got lower/better results than Lample when I use your implementation to train and test the BiLSTM-CRF model. Do you kno…
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It would be nice to be able to import TensorFlow created word embeddings (e.g. word2vec) models in a way similar to the `TFGraphMapper.getInstance().importGraph` graph import feature.
Ideally that wou…
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**Describe the bug**
fasttext word embeddings missing for the Urdu language
**To Reproduce**
Try to train a NER model for urdu (ur) language using WordEmbeddings("ur") leads to an error
OSError:…
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Thank you firstly for the tutorial
I wanted to ask if it is possible to use the final embeddings to test out a word and return top 10 similar terms.
e.g
### Top 10 Similar words given an input…
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Hi, I'm new to Tensorflow and Keras--really enjoying your book!
How do you retrieve the 11,000 words (vocab_size + num_oov_buckets) from the `StaticVocabularyTable` in cell 54? At the end of the Se…
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Hi @WesleyyC , I conducted some experiments myself, and see some funny result as described here,
https://stats.stackexchange.com/questions/337083/why-word-embeddings-learned-from-word2vec-are-linea…
zyxue updated
6 years ago
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## 一言でいうと
多言語情報を使ってword embeddingsを得ることで性能向上することは知られていたが、手法の比較は行われてこなかった。そのため、4つの手法を比較した話(BiSkip, BiCVM, BiVCD, BiCCA)。Intrinsicなタスク(monolingualとcross-lingualでの単語類似度タスク)とExtrinsicなタスク(cross-lingualでの…
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## 一言でいうと
word embeddingの性能向上はアルゴリズムでなくハイパーパラメータのチューニングによるところが大きいのではないかということで検証した論文。様々なハイパーパラメータの組み合わせで検証した結果、word similarityタスクにおいて、従来のcount-baseの手法でもpredict-baseの手法と同等の性能を示した。ただし、analogy-taskにおいてはp…