Megagon Team Profile: Estevam Hruschka, Staff Research Scientist
Welcome to our fourth team profile blog post! In this article, we interview Estevam Hruschka, a Staff Research Scientist at Megagon Labs. You’ll learn what
September 17, 2020
Learning to Detect Semantic Types from Large Table Corpora
Many data preparation and information retrieval tasks such as data cleaning, schema matching, data discovery, semantic search, and data visualization can benefit from detecting the
August 28, 2020
Megagon Labs Summer 2020 Internship Experience
Megagon Labs has six students working with us for the summer 2020 internship program. This summer is a bit unusual. Our interns have to work
August 21, 2020
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 power question answering systems. But research in this field has
July 23, 2020
Megagon Team Profile: Nikita Bhutani, Research Scientist
Welcome to our second team profile blog post! In this article, we highlight Nikita Bhutani, a Research Scientist at Megagon Labs. We’ll discuss the exciting
July 9, 2020
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 an integral role in the purchasing process. Their immense growth
June 25, 2020
Making Review Analysis Easier with Teddy
User interaction with Teddy. Reviews hold a wealth of data that can help improve user experiences with e-commerce services. But unlocking insights from reviews can
June 11, 2020
Megagon team profile: Sara Evensen
We are excited to start a series of blogs to profile our researchers and engineers at Megagon Labs. Sara Evensen is a software engineer at
May 14, 2020
Snippext: Better Opinion Mining With Less Training Data
Understanding public sentiment can unlock unprecedented insights for every business. Consequently, opinion mining, the process of analyzing text content and extracting factors to understand if
April 30, 2020
Happiness Entailment: Generating Sustainable Suggestions for Better Well-Being
What makes you happy? This question is a central topic in positive psychology — particularly, which behavioral modifications provide people with happiness in a sustainable
April 16, 2020
Semantic Type Detection: Why It Matters, Current Approaches, and How to Improve It
Semantic type detection aims to identify the real-world references of data sources such as table columns. By establishing correspondences with real-world concepts, semantic types can
April 2, 2020
ConciergeBot Case Study: Building an Industrial-Strength Q&A Chatbot for Hotels
Unless you’ve been living under a rock for the past 10 years, chances are you’ve used or interacted with a chatbot. This software conducts conversations
March 20, 2020
Unlocking Real Value from User Reviews With Subjective Data and Experiential Search — Part 2
Welcome back to our series on how subjective data and experiential search can unlock more value from user reviews. In our first post, we examined
March 5, 2020
Unlocking Real Value from User Reviews With Subjective Data and Experiential Search — Part 1
User reviews now run the world’s business. Whether you’re selling a product, hiring employees, or managing a hotel, reviews can make or break your business.
February 20, 2020
Emu: Enhancing Multilingual Sentence Embeddings with Semantic Similarity
Language is perhaps humanity’s greatest invention. It allows us to communicate information, convey ideas, and collaborate on building a better future. But for emerging technologies
February 5, 2020