NEW YORK, Jan. 14, 2019 /PRNewswire/ -- OneConnect US Research Institute (GammaLab NYC), has placed first in the seventh Dialog System Technology Challenge (DSTC7 or "the Challenge"), one of the world's leading dialog system challenges. GammaLab NYC achieved the highest human rating score on appropriateness and the second-highest human rating score on informativeness with its OneConn-MemNN System for Knowledge-Grounded Conversation Modeling.
A leading academic competition in the dialogue system of AI, the Challenge was started by scientists from Microsoft, Carnegie Mellon University, and the Honda Research Institute. This year, the Challenge was split into three different tracks, with GammaLab NYC participating in the Sentence Generation track, where performance was evaluated based on appropriateness, informativeness and utility.
For dialogue systems such as chat bots, a main challenge for developers remains how to combine the dialogue content with the exact context to avoid generating unclear and irrelevant sentences. The "OneConn-MemNN System" has an advantage in overcoming this challenge. The model integrates a large number of external knowledge and human corpora and builds end-to-end neural approaches for conversational response generation based on deep learning. It can generate smooth, coherent, interesting, and informative responses. Meanwhile, the system uses a mechanism to process key information in the conversation to generate different responses.
This technology could be widely used in various kinds of business scenarios that can leverage AI dialogue technology and natural language generation (NLG). For example, in a smart customer service system, it can generate coherent and interesting conversations based on the real-world knowledge it picked up to improve user experience. It can also help automatically transform massive structural data in fields such as insurance , banking, investment, and medical care, into human sounding narratives with different writing styles to greatly reduce manual reporting efforts and improve decision making.
GammaLab NYC will present the OneConn-MemNN System in the DSTC7 workshop of the 2019 Association for the Advancement of Artificial Intelligence Conference (AAAI-19), one of the top AI conferences in the world in January 2019.
Owned by OneConnect, a financial technology subsidiary of Ping An Insurance Group, the GammaLab Institute of Artificial Intelligence (GammaLab) uses natural language processing, reinforcement learning, migration learning, and confrontational learning technologies to develop projects including AI assistants, smart marketing and smart investment. GammaLab is committed to developing applications for cutting-edge technologies such as big data and AI in the financial field. It has obtained more than 200 patents and published more than 10 papers. In 2018, the lab ranked first in the Stanford Question Answering Dataset 2.0 (SQuAD) machine-reading comprehension challenge. The lab's micro-expression recognition technology has also topped the list on both Arousal (emotional intensity) and Valence (positive and negative) in emotional intensity, ranking first globally in the One-Minute Gradual Emotion Challenge at the University of Hamburg.
GammaLab NYC Website: http://gammalab.us
Shenzhen OneConnect Technology Co., LTD. (One Connect), is a financial technology subsidiary of Ping An Insurance (Group) Company of China, Ltd. It is committed to becoming a world-leading technology-powered financial services firm. In a bid develop smart technologies, One Connect aims to pursue and achieve technology-powered business transformation, optimize products and service experiences, maintain stable and healthy business growth and create greater value for its customers and shareholders.
OneConnect has established a vision to build fintech eco-system, promote fintech inclusion, and empower financial institutions. The company has a full coverage over banks, insurance companies, investment managers, and various other financial institutions. And provides front to back end-to-end solutions such as sales, products, risk management, and operations, and technology.