Research
Advancing how machines understand and generate human language across speech, text, and translation.
The DialoGPT project establishes a foundation for building versatile open-domain chatbots that can deliver engaging and natural conversational responses across a variety of conversational topics, tasks, and information requests, without resorting to heavy hand-crafting.
With the advent of AI assistants, initially developed for structured databases and manually curated knowledge graphs, answers to the types of basic fact-based questions people encounter during the course of regular conversation became keystrokes or…
In this project we develop new deep learning models for bootstrapping language understanding models for languages with no labeled data using labeled data from other languages.
MASS is a novel pre-training method for sequence to sequence based language generation tasks. It randomly masks a sentence fragment in the encoder, and then predicts it in the decoder.
A phonetic matching library. Includes text utilities to do string comparisons on phonemes (the sound of the string), as opposed to characters.
Scheduling meetings is tedious. It gets even more challenging when people use different calendaring systems or meet across different time zones. People need to have multiple dialogues to find an optimal time for them to…
See how researchers from the Heart Research Institute collaborate in real-time on documents, meet online and chat with confidence their intellectual property is protected using Microsoft Teams. Save your grant funding because Microsoft Teams is…
