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## ❓ Questions & Help
I face the problem when xlnet tokenizer encodes name
from pytorch_transformers import *
import torch
tokenizer = XLNetTokenizer.from_pretrained('xlnet-base…
lagka updated
5 years ago
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how can we extract a final sentence embedding using bert?
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Hi, I am trying to get a word embedding vector for BioBERT, and compare it with the word embedding vector I get from BERT.
However, I haven't been successful in running BioBERT.
I have download…
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Hi, I found this repo is quite helpful for the dialog system research community. I was wondering are these baseline models provided in this repo ready to use or still in the development?
Thank you!
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Looking at
https://github.com/CoNLL-UD-2018/UDPipe-Future/blob/d5c64fc0e2e8e3218ea682042653eb4c45f75933/ud_dataset.py#L155-L158
doesn't this rely on the order of items returned by `items()` to be in…
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Can we retrieve word embeddings from the model?
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- [x] 名词补充说明： P369页 名词“束搜索”，学生在查找资料过程中发现在论文（知网）和博客中Beam Search的中文翻译“束搜索”与“集束搜索”都有，且数量相当，建议补充说明“束搜索”的别名为“集束搜索”
- [x] 公式错误：P371页 公式15.18，公式左边$\theta$右上标的意思是想表达“MLE”么，也可能是想表达估计的“^“符号，但是这里应该是有问题的
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The link to the paper "Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation" in [universal-dependencies](https://github.com/sebastianruder/NLP-progress/…
Zidet updated
5 years ago
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What is the best way to get the word embeddings out of LASER instead of Sentence embeddings?
- We may use the last BiLSTM Layer's output (just before max pooling) as word-level representations. My …
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Hello,
I am to trying to extract contextual embeddings by feeding train.json to 'extract_features.py'.
example: my input file(train.json file) is as follows:
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