Finance NLP releases new demo apps and fix documentation

Version 1.16.0 of Finance NLP releases new demo apps for Question Answering and Summarization tasks and fixes documentation for many models.

New demo apps

We release new demo apps for Question Answering and for Summarization, showing examples using the latest models of the library.

• New Flan T5 based models for Question Answering:
  

  

• New Flan T5 based models for Summarization:
  

  

Now, interested users can check the capabilities of the newest models that were recently released in our demonstration apps.

Fixed NER models detecting eXtensible Business Reporting Language (XBRL) entities

We fixed model names and metadata related to XBRL that detects the 139 most common labels of the framework. This allows better search and filtering on Spark NLP Models Hub.

Fancy trying?

We’ve got 30-days free licenses for you with technical support from our financial team of technical and SME. This trial includes complete access to more than 150 models, including Classification, NER, Relation Extraction, Similarity Search, Summarization, Sentiment Analysis, Question Answering, etc. and 50+ financial language models.

Just go to https://www.johnsnowlabs.com/install/ and follow the instructions!

Don’t forget to check our notebooks and demos.

How to run

Financial NLP is quite easy to run on both clusters and driver-only environments using johnsnowlabs library:

!pip install johnsnowlabs

from johnsnowlabs import nlp

nlp.install(force_browser=True)

# Start Spark Session
spark = nlp.start()