-
## Expected Behavior
So, I'm using the named_entity_extractor, trained it on some data, then extracting entities from some data the model has never seen before using the extract_ent…
-
**Issue**:
![image](https://user-images.githubusercontent.com/30304681/55319048-acaf8880-54a6-11e9-821c-f1ddd4b6b81a.png)
你好,我用-m rasa_nlu.server -c sample_configs/config_jieba_mitie_sklearn.yml -…
-
We are using Gate in our project http://github.com/ICIJ/datashare among other NLP pipelines (OpenNLP, CoreNLP, IxaPipe and Mitie).
We already have a library that extracts text from various files h…
-
麻烦博主能分享下环境配置文件吗?碰到好多配置,估计大部分都是module的版本问题。
-
**Rasa NLU version** (e.g. `0.7.3`):
**Used backend / pipeline** (`mitie`, `spacy_sklearn`, ...):
**Operating system** (windows, osx, ...):
**Issue**:
现在意图json非常少,我要怎么拓展这些意图json?
**C…
-
最近在用rasa nlu做中文意图识别和实体抽取,自己按照示例样本构建了少量样本,约1000多条。其中4个意图,10种实体,训练时间达到16小时.....如果大规模的样本训练的话,这个时间成本太高了,想问下如何加速模型训练呢,在官方文档中也没有找到相关的内容
-
root@weizhen-Lenovo-IdeaPad-Y470:/home/weizhen/Rasa_NLU_Chi# python -m rasa_nlu.train -c sample_configs/config_jieba_mitie_sklearn.json
usage: train.py [-h] [-o PATH] (-d DATA | -u URL) -c CONFIG [-t…
-
我自己添加了三个领域大概几千行的数据,然后我用设置现成64线程跑在32核16g的机器上,两天都没跑完,我看了一下,内存也没用完,cpu也就100%,感觉性能没用完,但是跑了两天模型都没生产,这是什么原因呀!
-
art I: train segmenter
words in dictionary: 200000
num features: 271
now do training
C: 20
epsilon: 0.01
num threads: 1
cache size: 5
max iterations: 2000
loss per missed segme…
-
**Rasa NLU version** (e.g. `0.7.3`):
**Used backend / pipeline** (`mitie`, `spacy_sklearn`, ...):
**Operating system** (windows, osx, ...):
**Issue**:
**Content of configuration fil…