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Does the model map each POS tag and NER tag category to a one-hot encoding? If not, why? It doesn't make sense to me how you can just supply the category ID directly in the embedding.
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Is it possible that I can use my own files instead of Wikipedia to train DRQA? @ajfisch
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When I trained the Decomposable Attention model, I got the bug:
```
File "src/scripts/rte/da/train_da.py", line 9, in
from allennlp.data import Vocabulary, Dataset, DataIterator, DatasetReader…
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- [x] how often did DR return the right page?
- [x] how often did SR return the right page?
- [x] how often did SR return the original evidence?
- [ ] for the times where SR returned different evid…
j6mes updated
6 years ago
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Hi,
I've been trying to run the train.py file, and am facing the following error:
```
Traceback (most recent call last):
File "scripts/reader/train.py", line 542, in
main(args)
File…
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Hi,
I tried to reproduce the Exact match accuracy for CuratedTrec(19.7%) and WikiMovies(24.5%) as listed in Table 6 of the paper. The accuracy I get on single model trained on SQUAD and tested on C…
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I am trying to implement DrQA code but I am getting OSError: can't allocate memory.
when I run eval.py file in script/retriever.
Process doesn't uses the full RAM memory as it shown by htop command…
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I am new .how to add fed data / new articles to predict the answers ? how to add the data like books , research papers , news articles etc. to the Dr.QnA ?
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Hi guys!
Excellent implementation and the article, thank you.
I'm trying to run `scripts/pipeline/interactive.py` from [Quick Start: Demo](https://github.com/facebookresearch/DrQA#quick-start-d…
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I have Chinese WebQA, and Chinese documentation, but do not know how to train and use Chinese glove embedding?