Comments (1)
Hi, I am interested in this paper, while I can not find the NLPCC-DBQA dataset from your source codes. Could you show the results of the NLPCC-DBQA from your codes? Thanks.
Sorry, I forget to upload the NLPCC-DBQA dataset. I have fixed this problem. Then, you can download it from here, which is named as "nlpcc-dbqa".
You can test K-BERT with run_kbert_cls.py
. Especially, add --mean_reciprocal_rank
if you want to print MRR results.
from k-bert.
Related Issues (20)
- MAX_ENTITIES = 2 HOT 1
- QA代码 HOT 1
- 预训练模型 HOT 1
- NER标签还原实体问题 HOT 4
- 复现问题 HOT 4
- 生成类任务 HOT 1
- 有关预训练
- 有关QA任务,可以用作基于阅读理解的问答吗?
- 巢狀NER問題
- 能否用于英文任务?是否需要更换tokenizer? HOT 1
- 是否可以多分类 HOT 4
- pre-training corpus
- 关于更换基础模型的问题
- I modified some code of K-BERT so that it can be fit to English datasets
- Where is the -inf condition being enforced ?
- ZeroDivisionError: division by zero HOT 2
- 根据垂直领域知识图谱微调k-bert
- 关于论文中K_Query以及K_Inject方法的疑问
- 关于三元组影响NER HOT 1
- K-BERT vs BERT Comparison ?
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from k-bert.