Do you have an NLP system in production today—or plan to? This short survey explores how natural language technologies (NLP and NLU) are currently being used in industry. It should take 5-7 minutes, and your responses are completely anonymous.

Complete the survey and we'll send you the survey results and a free pass to NLP Summit 2020.

We really appreciate your input! Contact us at survey@gradientflow.com for any questions.

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3. What is the total size of your organization? (select one)

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4. Which of these job types most accurately describes your role? (select one)

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5. What is the stage of NLP adoption in your organization? (select one) 

If you have an NLP system in production today, please answer all the following questions only with regard to that production system. That is, please exclude projects that are still in development or evaluation stages.

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6. What are the main types of NLP use cases that your production system supports? (choose all that apply)

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7. What is the most important requirement when evaluating an NLP library or solution? (choose one)

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8. What are the sources of text that your production systems need to analyze?  (check all that apply)

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9. Which NLP libraries does your organization use in production? (check all that apply)

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10. What are the main challenges with the NLP libraries that your organization depends on today? (check all that apply)

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11. Which NLP cloud services does your organization use in production?
(check all that apply)

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12. What are the main challenges with the NLP cloud services that your organization depends on today? (check all that apply)

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13. What scale of documents does your NLP system support?

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14. How do you generate labeled training data for training or evaluating NLP models?

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15. Compared to 2019, the budget allocated to NLP projects in your organization has:

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