The Open Virtual Assistant Lab (OVAL) is organizing the First Open Virtual Assistant Workshop to be held on , at Stanford University, as part of the Stanford HAI Fall Conference.
The purpose of the OVAL lab is to create an ecosystem with open, federated, state-of-the-art virtual assistants to accelerate linguistic technology, make technology openly available, accelerate adoption, and enable sharing with privacy.
The OVAL lab has created a first open-source, virtual assistant that supports sharing with privacy (Almond), an open skill platform (Thingpedia), and an open-source neural model (LUInet). We are creating an industrial affiliates program to accelerate our collaboration with industry partners.
We invite interested stakeholders, open-source community members, and researchers to participate in this working meeting. Our goals are:
We are actively putting together the agenda; we welcome suggestions of topics and speakers.
This is an invitation-only workshop: we must limit attendance as it is a working meeting. If you are interested in an invitation, please contact OVALfirstname.lastname@example.org describing your interest in participation.
A panel on the need for an open virtual assistant.
Proposal for a Write-Once-Run-Anywhere (WORA) skill platform: Thingpedia (1.0).
An open-source neural network for virtual assistants.
Training NL neural models without real user data.
Growing the skill platform.
Inter-operable, privacy-preserving virtual assistants.
Thingpedia 2.0. Multi-modal assistants with dialogs.
Answering questions about existing websites without manual skill creation.
Conversational agents: Engaging dialogs and neural models for dialogs.
Auditable, revocable 3rd-party sharing contracts with scalable blockchain technology.
Prof. Monica Lam
Prof. James Landay