Machine Reading Comprehension (MRC) API is used where the task is to read and comprehend a given text passage, and then answer questions based on it.
This can be used to search given answers in a given text in a semantic way. This helps curate the knowledge base of questions and responses from the inputted text.
Input Type Supported: Text
compute under the status object.data object returns the requested metadata if it is computed. The status object shows the current state of the requested metadata.
Response string will be "" when there is no ideal response for the question from the given context.{"data":{"question_responses":[...{"question":"What is Machine Learning?","response":"Machine learning (ML) is the study of computer algorithms that improve automatically through experience.""start_char":1224,"end_char":1235},{"question":"How far is the moon?","response":"384,400 km""start_char":2340,"end_char":2345,},{"question":"Who finished on the podium?","response":"""start_char":2340,"end_char":2345,},...]}}
Fields | Description |
| List of global topics extracted from the audio/video file |
| Text of the extracted topic relevant to the question |
| Question from the list of questions sent in the request |
| Starting character location in the original text |
| Ending character location in the original text |
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