Jeff is a consultant at Mountain Fog where he helps clients in the intersections of big-data, cloud, and NLP.
Jeff Zemerick is speaking at the following session/s
Leveraging Neural Networks and Learning-to-Rank in Document Workflows
In an environment of technical documents that once written follow a defined workflow, can we offer real-time assistance to authors to help ensure their documents exit the workflow with a positive resolution? This presentation describes how a neural network classifier was built to predict a document’s final state in the workflow and provide feedback to the author to help increase document quality, and ultimately, a positive workflow outcome. We will see how neural networks, natural language processing, and learning-to-rank can be used to perform document classification and dynamic term suggestion in a field dominated by highly technical text. This presentation focuses on how current and emerging technologies and tools can be successfully applied to provide business value.
Attendees will see how neural networks, natural language processing, and learning-to-rank can be applied to a business problem. They will see how technologies in each of those areas can come together as a complete solution.
The intended audience is technical business managers who want to learn how these technologies can improve their business processes and engineers who are interested in a real-world use-case of neural networks, NLP, and learning-to-rank.