Blog
Ruler: Create Labeling Functions With Data Programming by Demonstration (DPBD)
Text classification underlies many of the technologies that we use daily; email routing, news categorization,
Essentia: Mining Domain-Specific Paraphrases With Word-Alignment Graphs
Paraphrases are vital resources for a wide variety of natural language processing (NLP) applications. Consequently,
Megagon Labs Wins Award at Recruit Engine Forum for Work on OpineDB!
Eser Kandogan presents OpineDB at the Recruit Engine Forum We’re honored and excited to announce
KDD 2020 Highlights
The KDD (Knowledge Discovery and Data Mining) conference is the oldest and arguably the top
Megagon Team Profile: Estevam Hruschka, Staff Research Scientist
Welcome to our fourth team profile blog post! In this article, we interview Estevam Hruschka,
Learning to Detect Semantic Types from Large Table Corpora
Many data preparation and information retrieval tasks such as data cleaning, schema matching, data discovery,
Megagon Labs Summer 2020 Internship Experience
Megagon Labs has six students working with us for the summer 2020 internship program. This
NeurON: Open Information Extraction (Open-IE) from Conversational Question-Answer Pairs
Open information extraction (Open-IE) is one of the primary processes for building knowledge bases that
Megagon Team Profile: Nikita Bhutani, Research Scientist
Welcome to our second team profile blog post! In this article, we highlight Nikita Bhutani,
ExtremeReader: An Interactive Explorer for Customizable and Explainable Review Summarization
Fig 1: User interaction with ExtremeReader. With the rise of e-commerce, user reviews now play
Making Review Analysis Easier with Teddy
User interaction with Teddy. Reviews hold a wealth of data that can help improve user