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Hi, thanks for this amazing work. i have some questions.
The annotation is base on abstract level. but when you use PubMedBERT model for relation extraction, how do tokenizers do the sentence segmen…
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When I run model_predict.py as described in readme ,I got the error:
Traceback (most recent call last):
File "model_predict.py", line 17, in
print(model.predict(text))
File "/home/jovyan…
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### **Ellipsis in UD:**
Hi,
I'm working on the [Italian_Old treebank](https://github.com/UniversalDependencies/UD_Italian-Old), which consists (so far) of part of the _Divine Comedy_, an Old Itali…
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NusaCatalogue: https://indonlp.github.io/nusa-catalogue/card.html?open_relation_id
| Dataset | open_relation_id |
|-------------|---|
| Description | This dataset provides the …
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Hi team,
Please find below an example of the problem that I am trying to solve
**Original Sentence:**
PD98059, a specific inhibitor of MEK, had little effect on the TNF-alpha-induced phosphoryl…
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**Describe**
Model I am using (UniLM, MiniLM, LayoutLM ...):
Iam using LayoutXML to train on each language separately for Relation Extraction module on XFUND dataset.
I want to multiple-language…
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I use the model offered by VinVL Feature extraction,.But after using the same setting as advised, I can only obtain bounding box features. So, how to extract relation features? Thanks
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In the paper "Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts", you got f1=90.36 , Where can I find the code?
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Hello, thanks for providing this framework. My group has run into a bit of a snag:
For context, we've successfully completed candidate extraction & labeling for binary relations, with reasonable ru…
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I think the deep learning techniques for knowledge graph, especially for relation extraction are missing. The author is suggested to give some suggestions for these directions. :)