Blog
Supporting Humans in the Information Extraction Loop: An In-depth Study of the Practices, Limitations, and Opportunities
Information extraction (IE) is often the crucial first step in text-analysis tasks such as entity
Megagon Team Profile: Eser Kandogan
As Head of Engineering, Eser helps further develop the skills of the engineers on the
React + D3: A Starter’s Guide
At Megagon Labs, I create demos to clearly showcase the hard work of our natural
Megagon Labs Team Profile: Yuliang Li, Senior Research Scientist
Welcome to our team profile blog post! In this article, we highlight Yuliang Li, a
Extracting Salient Facts from Online Reviews with Scarce Labels
Online reviews have become an essential source of information, so much so that more than
An Example of Sentiment Polarity Analysis and Recognizing Textual Entailment Utilizing Texts in Japanese Hotel Reviews Posted on Jalan Net
In order to create a better customer experience, we need to know what makes a
Megagon Team Profile: Kaoru Tanaka, Research Engineer
Welcome to our team profile blog post! In this article, we highlight Kaoru Tanaka, a
What MLflow Solves and Doesn’t Solve for Us
As a growing research lab focused on Natural Language Processing, database management and data augmentation,
Generating Specific Review Summaries with Coop
With the rapid growth of online review platforms such as Yelp and Glassdoor, people are
Machamp: A Generalized Entity Matching Benchmark
Entity Matching (EM) Given two collections of entity entries, such as two tables of product
Megagon Labs Summer 2021 Internship Experience
Every summer, Megagon Labs gets busy as we work with top talented interns from universities
Human(s)-in-the-Loop(s) of the Data Science Practice
Last month I participated in the 3rd Workshop on Data Science with Human in the