O'Reilly logo

Hands-On Natural Language Processing with Python by Rajalingappaa Shanmugamani, Rajesh Arumugam

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Summary

In this chapter, we saw how to use character-based CNN, by training a model to search for duplicate pairs. Character CNN gives us the flexibility to train models with unknown characters, and it is more generic than word-level embedding. Similar kinds of networks can be used for searching, matching, and deduplication.

In the next chapter, we will learn how to train a model for Named Entity Recognition (NER) using LSTM. 

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required