Bootstrapping Conversational Agents with Weak Supervision

Visual Parsing with Weak Supervision

Building Conversational Agents with Basilica

Basilica is an event-driven software architecture for creating conversational agents as a collection of reusable components. Software engineers and computer scientists can use this general architecture to create increasingly sophisticated conversational agents. We have developed agents based on Basilica that have been used in various application scenarios and foresee that agents build on Basili...

Multi-Resolution Language Grounding with Weak Supervision

Language is given meaning through its correspondence with a world representation. This correspondence can be at multiple levels of granularity or resolutions. In this paper, we introduce an approach to multi-resolution language grounding in the extremely challenging domain of professional soccer commentaries. We define and optimize a factored objective function that allows us to leverage discou...

Learning Transformation Invariant Representations with Weak Supervision

Benjamin Coors1,2, Alexandru Condurache2, Alfred Mertins3 and Andreas Geiger1,4 1Autonomous Vision Group, MPI for Intelligent Systems, Tübingen, Germany 2Robert Bosch GmbH, Leonberg, Germany 3Institute for Signal Processing, University of Lübeck, Germany 4Computer Vision and Geometry Group, ETH Zürich, Switzerland {benjamin.coors,andreas.geiger}@tue.mpg.de, [email protected], m...

Conversational Agents

This paper describes a conversational agent for language learning. Our goal is to provide an environment that allows learners to practice language skills by interacting with other learners and artificial conversational agents using instant messaging and email. The learners take part in an adventure story and must use dialogues that are typically found in basal language textbooks to move forward...