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Currently, some predicted relations are unexpected or, instead, some expected relations are missed in answers of the system.
We need to detect the examples and try to solve them.
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Hello! I'd like to ask if the code of your another paper, "Investigating the Impact of Different Graph Representations for Relation Extraction with Graph Neural Networks", which was also published on …
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Hello,
Thank you for this amazing toolkit. I have a question as I tried to run the Code 2 example on page 4 in the paper (https://arxiv.org/pdf/2309.14258.pdf)
# event extraction & relation ext…
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Dear Author
Greetings
I would like to ask what is the exact step of the Inter-pixels relation extraction in it, based on the description of your paper I would hazard a guess that it is a high pass f…
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Hi, many thanks for your efforts in this project.
Recently , i'am getting stuff in extracting the knowledge graph of UMLS. I need to get all the triple relation of this database, how could i impleme…
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Try out Hearst patterns from: https://github.com/allenai/scispacy first since it’s the lowest resource technique to get a rough prototype working
EDIT: Sadly does not capture much
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First of all, thank you very much for your work and I am very interested in it. However, I am not sure of how to perform the entity extraction and relation extraction as the data pre-processing steps.…
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Hi @jpWang , thanks for your repo,
I have used it for my project: extract keys and values in complicated layout document types
1. The NER model looks good
2. The RE model does not work well
Exam…
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can you check the re triplet test with api ? It's like copying from ner code