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I'm having trouble reproducing the static embedding results from the paper. For reference here is the results table for Static Embeddings from the paper:
![pc_static_embeddings](https://user-images…
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Hello!
Thanks again for making the code available and for the clear documentation! Quick question on your new implementation of the paper "Joint dialog act segmentation and recognition in human con…
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## 관련 논문 내용
> Baseline Rescaling Because we use pre-normalized vectors, our computed scores have the same numerical range of cosine similarity (between −1 and 1). However, in practice we observe sc…
lovit updated
4 years ago
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Hi~
To train on GENIA with [BioBERT](https://github.com/dmis-lab/biobert), I found there are several pre-trained embedding files, which one should I use? And could you please tell me the dimension …
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Getting CUDA out of memory errors for following:
```
---------------------------------------------------------------------------
RuntimeError Traceback (most recent cal…
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Thank you for making available these models. Could you also share language modeling classification task heads, e.g., for BERT models?
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Replicate method of (Wiedemann et al., 2019) and (Hu et al., 2019) as disambiguation baseline.
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I am trying to build an emotion-aware recommendation system for music by adapting the TFRS tutorials on my data's needs but I have a little trouble understanding the required formulation of the data f…
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Is there any way to classify the entity based on the category and context.
```
Eg.
Apple Inc > Company
Apple > Fruit
```
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I would like to train **contextualized flair embeddings** in my own language.
I have data like **informal** data (conversational keyboard data and comment data) **millions** of lines.
I would like …