Hello community, I am a user of OpenNLP framework and currently I want to train my own model using the API provided by OpenNLP to recognise keywords from users’ input. However, I always get the “InsufficientTrainingDataException” when I tried to do that. Do you have any suggestions on how to solve this exception?
Here is my project idea: https://mifosforge.jira.com/wiki/spaces/RES/pages/225411076/Google+Summer+of+Code+2018+Ideas#GoogleSummerofCode2018Ideas-Mifos/FineractChatbot&Adapter <https://mifosforge.jira.com/wiki/spaces/RES/pages/225411076/Google+Summer+of+Code+2018+Ideas#GoogleSummerofCode2018Ideas-Mifos/FineractChatbot&Adapter> If you want to query about your financial conditions in the fields mentioned in that link in natural language, what would be your commands? Here is the sample from my training data: Check my status of <START:finance>loan<END> Hello. What is my <START:finance>loan status<END> What is my <START:finance>interest<END> The error message is that: opennlp.tools.util.InsufficientTrainingDataException: Training data must contain more than one outcome Do you have any ideas? Regards, Dingfan
