With my recent work to bring ONNX Runtime to Apache OpenNLP to allow the use of transformer models from OpenNLP, I wrote a blog post that was published to the Apache OpenNLP blog. The post describes how OpenNLP works with the ONNX Runtime and walks you through how to train and use a model. Check […]
Category: opennlp
Searching for the Right Words: Bringing NLP to Apache Solr through ONNX and OpenNLP
I am very excited to be presenting at this year’s Linux Foundation Open Source Summit North America! My presentation titled Searching for the Right Words: Bringing NLP to Apache Solr through ONNX and OpenNLP will talk about the new ONNX capabilities that have been introduced into Apache OpenNLP and how to utilize the functionality from […]
Apache OpenNLP and ONNX Models
I got started using the Apache OpenNLP project some time around 2009. I had a large amount of unstructured text that I wanted to process and I didn’t know how. As a Java programmer, Apache OpenNLP provided the tools I needed to make that large amount of text usable. Back then, the NLP options available were […]
“Let’s Build Something!” with Mike Chambers
I was recently invited to be a guest on Mike Chambers‘ (an AWS Hero) show! On this episode Mike wired together the final pieces to make his machine learning model in SageMaker available through API Gateway endpoint and a static website in S3. He did the coding live and it worked great! The small web […]
OpenNLP’s RegexNameFinder and Tokenizing
OpenNLP’s RegexNameFinder takes one or more regular expressions and uses those expressions to extract entities from the input text. This is very useful for instances in which you want to extract things that follow a set format, like phone numbers and email addresses. However, when tokenizing the input to the RegexNameFinder be careful because it can affect […]