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ACL-IJCNLP 2021 Highlights
Since its establishment in 2016, Megagon Labs has conducted research in Natural Language Processing and

Deep Entity Matching with Pre-Trained Language Models
Entity Matching (EM) Entity Matching is an important task in the daily life of a

Data Version Control for Machine Learning Applications
In the software development world, a project’s most critical component is its code. Code version

Darwin: Adaptive Rule Discovery for Labeling Text Data
There is consensus, especially in our current deep-learning era, that more training data almost always

Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond
Deep Learning is revolutionizing almost all fields of computer science including computer vision, natural language

Megagon Team Profile: Xiaolan Wang, Senior Research Scientist
Welcome to our team profile blog post! In this article, we highlight Xiaolan Wang, a

SubjQA: A Question Answering Dataset for Subjectivity and Review Comprehension
Subjectivity is ubiquitous in our use of natural language and thus is also a crucial

ExplainIt: Streamlined Review Summarization Through Opinion Graph Construction
Reviews heavily influence customer purchasing decisions. But an overwhelming abundance of reviews makes it difficult

Megagon Team Profile: Yuta Hayashibe, Research Scientist
Welcome to our sixth team profile blog post! In this article, we interview Yuta Hayashibe,

GiNZA Version 4.0: Improving Syntactic Structure Analysis Through Japanese Bunsetsu-Phrase Extraction API Integration
We are now one step closer to more seamless Japanese language analysis. GiNZA version 4.0
Megagon Team Profile: Jonathan Engel, Software Engineer
In this article, we interviewed Jonathan Engel, a Software Engineer at Megagon Labs. Jonathan shared

Control and Interpret Your Summaries with OpinionDigest
When making plans to purchase a gift, travel, or dine out, how do you decide