Ditto: Deep Entity Matching System with Pre-Trained Language Models
Entity Matching (EM) refers to the problem of finding pairs of entity records that refer to the same real-world entity such as customers, products, businesses,
Entity Matching (EM) refers to the problem of finding pairs of entity records that refer to the same real-world entity such as customers, products, businesses,
We are now one step closer to more seamless Japanese language analysis. GiNZA version 4.0 was released on August 16, 2020. It is based on
In this article, we interviewed Jonathan Engel, a Software Engineer at Megagon Labs. Jonathan shared with us his passion for language and technology, new developments
When making plans to purchase a gift, travel, or dine out, how do you decide among the plethora of options available? Thanks to the internet,
Welcome to our fifth team profile blog post! In this article, we interview Wataru Hirota, a Research Associate at Megagon Labs. You’ll learn about Wataru’s
The scale and availability of digital text on the internet has drastically increased over the past decade. Online enterprises often apply text data analysis to
Semantic tagging can elucidate unparalleled data insights for businesses both big and small. In turn, this information can catalyze solutions to longstanding problems in an
Ever wonder what it’s like to work on cutting-edge advancements in natural language processing (NLP)? Well, you’ve come to the right place — welcome to
Text classification underlies many of the technologies that we use daily; email routing, news categorization, and social media intent identification are just a few examples.