Modern Extractive Question Answering Annotators, Notable Performance Enhancements, and State-of-the-Art Models Characterize Spark NLP 4.0, the newest release from John Snow Labs.
Fremont, CA: “As the most widely used NLP library in the enterprise, we have a responsibility to deliver accurate, production-grade, state-of-the-art NLP software,” comments David Talby, CTO, John Snow Labs. Spark NLP 4.0 has been launched by John Snow Labs, a Healthcare AI and NLP business and provider of the Spark NLP library. Spark NLP 4.0 is the company's most significant release this year, featuring new question-answering annotators, huge performance enhancements, optimizations on new hardware platforms, and more than 1,000 state-of-the-art pre-trained transformer models available in numerous languages. This exemplifies John Snow Labs' continued dedication to providing the most advanced and accurate NLP tools to the global AI community.
Spark NLP's introduction of question-answering annotators enables the software to respond to arbitrary natural-language inquiries based on a given document. The models include an answer and an explanation of where the solution is found in the document. Hundreds of pre-trained models based on BERT, ALBERT, DeBERTa, RoBERTa, DistilBERT, Longformer, and XLM-RoBERT are available out-of-the-box to handle numerous languages, document formats, and performance objectives. Models are trained and fine-tuned so that consumers can instantly begin using these apps. This is another step toward making NLP easier to implement in production-grade systems.
