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Use xstance benchmark for topic classification instead of stance detection.
See https://github.com/OpenGPTX/lm-evaluation-harness/blob/master/lm_eval/tasks/x_stance.py
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Create a function named classification_report which takes two inputs y_true and y_pred and returns accuracy, recall, precision and F1-score
* classification_report(y_true, y_pred)
* Create the abov…
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#### Describe the issue linked to the documentation
There is some discussion going on about the usefulness of some (if not all) over / under sampling methods implemented in the imbalanced learn pac…
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Hello
Parameters:
ALLOW_SOFT_PLACEMENT=True
BATCH_SIZE=16
DROPOUT_KEEP_PROB=0.5
EMBEDDING_DIM=128
EVALUATE_EVERY=100
FILTER_SIZES=3,4,5
L2_REG_LAMBDA=0.0
LOG_DEVICE_PLACEMENT=False
NUM_EPO…
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Thanks for the great work! I was wondering what is the proper way to use it for downstream task of stance detection. Can I just load the model from Huggingface and fine tune the model on sentence pair…
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hello, I'm reading your paper Cross-Target Stance Classification with Self-Attention Networks recently. But I have some question about your metric.
In your paper, the metric is F = 1/2(Fmicro + Fmacr…
ljsun updated
5 years ago
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**Please describe the module you would like to add to bricks**
Sentiments classification from the political stance of politicians, their tweets, etc.
**Do you already have an implementation?**
If…
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Thanks for the great work! I'm also using FLAN for training, so I'm wondering how to include only tasks that are in Tasksource but not in FLAN.
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## 0. 論文
Journal/Conference: **ACL 2020**
Title: **Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge**
Authors: Bowen Zhang, Min Yang, Xutao Li, Yunming Ye, Xi…
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