Human language technologies
Advancing how machines understand and generate human language across speech, text, and translation.
Tookits for Eighth Dialog System Technology Challenge
ConvLab is an open-source multi-domain end-to-end dialog system platform, aiming to enable researchers to quickly set up experiments with reusable components and compare a large set of different approaches, ranging from conventional pipeline systems to…
MetaLWOz: A Dataset of Multi-Domain Dialogues for the Fast Adaptation of Conversation Models
We introduce the Meta-Learning Wizard of Oz (MetaLWOz) dialogue dataset for developing fast adaptation methods for conversation models. This data can be used to train task-oriented dialogue models, specifically to develop methods to quickly simulate…
Microsoft at ACL 2019
Microsoft is excited to be a Diamond sponsor of the 57th Annual Meeting of the Association for Computational Linguistics (ACL). We will have over 50 Microsoft attendees present at the conference. Stop by our booth…
Analyzing ambiguity and word embeddings by probing semantic classes
Word embeddings have had a big impact on many applications in natural language processing (NLP) and information retrieval. It is, therefore, crucial to open the blackbox and understand their meaning representation. We propose probing tasks…
DialoGPT
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.
Bringing the power of machine reading comprehension to specialized documents
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…
