SeaWord NLP Overview
Table of Contents
- 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
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.
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.
Action Extraction API
The Action Extraction API extracts and summarizes action items from a document.
Cross Lingual NER API
The Cross Lingual NER API uses one model to extract 30+ common entities from over 100 languages.
Machine Reading API
The Machine Reading API performs extractive machine reading to answer questions given a context text.