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Many organizations interested in Natural Language Processing solutions are now asking the question, should we go third party, or develop our own in house?
One of the key difficulties involving in developing NLP systems in house, especially for Intelligent Document Processing (IDP), is that they require vast amounts of vocabulary training, a process which is time consuming and draining to a company’s resources. Cortical.io therefore recommends partnering with a company that has a proven track record with IDP, and gives several key criteria to look for in IDP offerings, including:
- Customizability to a specific use case.
- retrainable in response to new data.
- Adaptable to vocabulary that is not contained in training data.
- And more
Read the full e-book to learn more.