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LeCun, Yann, Yoshua Bengio & Geoffrey Hinton. 2015. “[Deep Learning](https://www.nature.com/articles/nature14539).” Nature 521: 436-444.
Karpathy, Andrej. 2015. “[The Unreasonable Effectiveness of …
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Post questions here for one or more of our fundamentals readings:
Goodfellow, Ian, Yoshua Bengio, and Aaron Courville. 2016. Deep learning. Chapter 12.4 “[Applications: Natural Language Processing]…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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[Text Classification](https://huggingface.co/tasks/text-classification) is the task of assigning a label or class to a given text. Some use cases are sentiment analysis, natural language inference, an…
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I can create embeddings and train e.g. keras model or scikit models for classification but I wonder if there would be some straightforward way to train e.g. multilingual sentence transformers model fo…
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Hello,
I want to use the Text Classification task on our own data:
1- In BERT the data is formatted in (id, label, etc). I understood that for XLNet, the data required to be formatted in the s…
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This is somewhat minor but it caused me to go back and forth until I figured out what was intended. In this section:
https://training.galaxyproject.org/training-material/topics/statistics/tutorials…
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## 一言でいうと
文書分類にGraph Convolutionを適用した研究。ノードとして文書・単語双方をとっており、文書=>単語の重みはTF-IDF、単語=>単語の重みはコーパス全体の共起(PMI)をとっている。単語分散表現なしにCNNやLSTMのモデルを上回る効果を出せている。ただ、テストセットのノードが既知であるTransductive設定
![image](https://u…
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We are missing a few datasets for Text Classification which is an important field.
Namely, it would be really nice to add:
- [x] TREC-6 dataset (see here for instance: https://pytorchnlp.readthedo…