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Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over 1 million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.
Phoebe Liu is a senior data scientist with expertise in robotics and conversational AI. Previously, she was a robotics researcher in Japan, working in Hiroshi Ishiguro Laboratory at Advanced Telecommunications Research Institute International (ATR), where she also earned her PhD at Osaka University at the same time. She has 6+ years of research experience and 3 years of industry experience. Her research focus includes embodied agent, dialogue system, multimodal data annotation and behavior generation, topic modeling, learning from demonstration, style transfer, explainable AI, proactiveness, personalization, and artificial curiosity and has published many first author papers in robotics conferences and journals.
October 15th at 12:05 PM EDT | Training Conversational Agents on Noisy Data
Throughout VOICE, our team will be responding to your feedback. You can ask questions about the topics raised during VOICE, schedule a meeting with one of our team members, or just send us your thoughts. We look forward to hearing from you.