Maluuba at ACL Vancouver

The Maluuba team is heading west next week to take part in the Association for Computational Linguistics 2017 conference. Held July 31st to August 4th in Vancouver, British Columbia. ACL, is the premier conference for the field of computational linguistics, covering a broad spectrum of diverse research areas that are concerned with computational approaches to natural language.

Maluuba's papers "Machine Comprehension by Text-to-Text Neural Question Generation" and "NewsQA: A Machine Comprehension Dataset" have been accepted to the 2nd Workshop on Representation Learning for NLP.

TEAM MEMBERS AT ACL

  • Layla El Asri, Research Manager
  • Adam Trischler, Research Manager
  • Andrew McNamara, Principal Engineering Manager
  • Hannes Schulz, Research Scientist
  • Sam Pasupalak, Co-Founder and CEO
  • Kaheer Suleman, Co-Founder and CTO
  • Jessica Mastronardi, Community Manager
  • Eric Yuan, Research Engineer

Make sure you come by our booth, where you can meet members of our team, learn about our work and grab some sweet swag.

WE'RE HIRING

Maluuba has multiple opportunities for Research Scientists, Applied Research Scientists, Engineers, Software Developers, Program Managers and more. We’re tackling reasoning, decision-making and communication in machines through groundbreaking research. We’re focused on three core areas:

MACHINE READING COMPREHENSION

The MRC team works to build literate machines. We use deep learning and reinforcement learning techniques to train agents that seek information in unstructured text and reason about it to deliver answers to users.

ADVANCED CONVERSATIONAL SYSTEMS

Building a conversational agent involves solving many problems, from understanding natural language and decision making to generating natural language. Our goal is to build systems which are knowledgeable and that can exchange information with users to help users accomplish tasks or gain knowledge.

REINFORCEMENT LEARNING

An intelligent machine should be able to make decisions and learn from environmental feedback similar to humans. At Maluuba, we do fundamental research in scalability of Reinforcement learning to allow machines to perform complex tasks in the real world.

APPLIED RESEARCH

This team builds state-of-the-art systems and models used in products by millions of people. Leveraging deep and reinforcement learning research and massive machine learning infrastructure, we work towards breakthrough innovations that achieve human-like language understanding across Machine Reading Comprehension and Dialogue Systems.

MALUUBA PARTY AT ACL

Attending ACL? Maluuba invites you to join us for an evening cocktail on Coal Harbour at Vancouver's TAPshack during the ACL 2017 conference. Come meet our researchers and team, focused on creating literate machines. We look forward to an evening of food, drinks and conversation in Vancouver! Click here to RSVP

We’re based in Montreal, a global hub for AI research and one of North America’s most dynamic cities. If you’re interested in learning more about Maluuba Microsoft, contact Jessica Mastronardi, our Community Manager. See you in Vancouver! 

 

 

Paul Gray