.. _nlp_readme: ==================== SeaWord NLP Overview ==================== .. contents:: Table of Contents :local: :depth: 3 The purpose of this tutorial is to demonstrate how the SeaWord APIs can be used to extract information from text. In this tutorial we will walk-through: - How to use the Summarization API to generate short and long summaries from a meeting transcript - How to use the Topic Prediction API to predict topics from a meeting transcript - How to use the Action Extraction API to extract and summarize actionable items from a meeting transcript - How to use the Cross Lingual NER API to extract entities from a given sentence - How to use the Machine Reading API to answer questions from a given text | These APIs are protected by an access token. Please send an email to info@seasalt.ai to get yours! | For these endpoints, please use ``access_token={token}`` either in the request webhook or the request header. Summarization API ================= The Summarization API uses mBART-50 based summarization models to generate summaries of single turn utterances and full transcripts in multiple languages. :ref:`Summarization Tutorial ---> ` Topic Prediction API ==================== The Topic Prediction API uses a combination of abstractive and extractive techniques to return a list of relevant topics and keywords from a document. :ref:`Topic Prediction Tutorial ---> ` Action Extraction API ===================== The Action Extraction API extracts and summarizes action items from a document. :ref:`Action Extraction Tutorial ---> ` Cross Lingual NER API ===================== The Cross Lingual NER API uses one model to extract 30+ common entities from over 100 languages. :ref:`Cross Lingual NER Tutorial ---> ` Machine Reading API =================== The Machine Reading API performs extractive machine reading to answer questions given a context text. :ref:`Machine Reading Tutorial ---> `