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Hi, I wonder why LSTM or RNN based methods cannot tackle bag-level relation extraction? It seems like they can only tackle sentence-level relation classification, but I think CNN or LSTM is only the e…
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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 share the code in the paper of "A Unified Architecture for Semantic Role Labeling and Relation Classification"?
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Hi, I find that during object tracklet classification stage, `traj_info_dir` in config file (such as `experiment/TrajCls_VidVRD/NoBgEmb/cfg_.py`) is `data0/VidVRD-II/tracklets_results/VidVRD_segment30…
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@wlpotter Can you revise this one please?
1.5. Subject Classifications [UNDER REVISION]
SMBL reproduces the subject classifications used by Wright in his catalogue. A further description of this tax…
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**Description**
This task involves selection of candidate sentences to annotate followed by manual classification of sentences as having a particular relation or not.
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fastText supervised model does not take into account of the document and words representation, it just learns bag of words and labels.
embeddings are computed only on the relation word->label. it wou…
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## ♻️ Debt/Refactor
The user model is too big - it encompasses multiple use cases. This makes permission checks and efficient caching difficult. We want to split it up based on use cases. An extensio…
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str_parse = str(process.communicate()[0]).split("\\n")[-2]
IndexError: list index out of range
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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…