The online version is temporarily unavailable because we cannot afford the key. You can clone and run it locally. Note: we set defaul openai key. If keys exceed plan and are invalid, please tell us. The response speed depends on openai. ( sometimes, the official is too crowded and slow)
Error communicating with OpenAI: HTTPSConnectionPool(host='api.openai.com', port=443): Max retries exceeded with url: /v1/chat/completions (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f20e6998910>: Failed to establish a new connection: [Errno 111] Connection refused
cd back-end and Run python run.py. 。弹出提示:Running on http://127.0.0.1:3000/ (Press CTRL+C to quit),进入链接http://127.0.0.1:3000,界面内容为:Not Found。The requested URL was not found on the server. If you entered the URL manually please check your spelling and try again.
我的key,openai.proxy都设置完成了。
4.我在前端尝试输入一段话,就报错:http://localhost:5000/ says SyntaxError: Unexpected token '<', "<!DOCTYPE "... is not valid JSON。后端也报错:TypeError: The view function did not return a valid response. The function either returned None or ended without a return statement.
This may relate more to the paper than the tool, sorry if it is the wrong channel.
How exactly is your NER evaluation performed. The relevant section in the paper is as follows:
We only consider the complete matching and use the micro F1 to evaluate NER task.
Only when both the border and the type of the predicted entity and the true entity are the same will we regard it as a correct prediction.
Given your example prompts in the appendix only list expected outputs of the form: ["Japan", "LOC"], there is no direct access to a border/offset. Do you just look for the answer text in the original sentence and take that index?
"error-stage1:Rate limit reached for default-gpt-3.5-turbo in organization org-NATszHOraQIVn1LhMbHGpI3Q on requests per min. Limit: 3 / min. Please try again in 20s. Contact [email protected] if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method."
hello, did you test the event detection performance (trigger identification and trigger classification) on the ACE2005 dataset ? According to the paper, only contain arguments classification are considered. Did I miss anything?
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