How to find the answer to a question in a document?
You use the BERT model to predict where to find an answer to the question in the document text, by giving the model your input feature provider with the input MLMultiArray instances. The sample then calls the model’s prediction (from:) method in the app’s findAnswer (for question: in document:) method.
How does a text model answer a question?
The model accepts text from a document and a question, in natural English, about the document. The model responds with the location of a passage within the document text that answers the question.
How does Bert find the answer to a question?
For example, given the text, “The quick brown fox jumps over the lethargic dog.”, with the question “Who jumped over the dog?”, the BERT model’s predicted answer is, “the quick brown fox”. The BERT model does not generate new sentences to answer a given question. It finds the passage in a document that’s most likely to answer the question.
Where is the quick brown fox in a text document?
The answer substring, located between indices 8 and 11 of the original text, is “the quick brown fox”. The BERT model included in this sample can process up to 384 tokens, including the three overhead tokens—one “classification start” token and two separator tokens—leaving 381 tokens for your text and question, combined.
You use the BERT model to predict where to find an answer to the question in the document text, by giving the model your input feature provider with the input MLMultiArray instances. The sample then calls the model’s prediction (from:) method in the app’s findAnswer (for question: in document:) method.
What makes a document a ” questioned document “?
This includes the identification of handwriting, typewriting, the authenticity of signatures, alterations in documents, the significance of inks and papers, photocopying processes, writing instruments, sequence of writings and other elements of a document in relation to its authenticity or spuriousness (Eckert, 1997).
The model accepts text from a document and a question, in natural English, about the document. The model responds with the location of a passage within the document text that answers the question.
What are the different types of questioning documents?
Dating examination – including absolute determinations (e.g., dates of introduction of products) and relative determination (e.g., erasures or alterations), changes, insertions and substitutions 5. Examination of falsification and alterations – including removals (e.g., erasures or alterations), changes, insertions and substitutions 6.