NLPCC 2019 Technical Workshops
Date/Time Hosts Addr Topics
Oct. 12, 2019 14:00~17:00 Peking University Founder Group Corp. Exhibition Meeting Room 2 (Third Floor) Natural Language Understanding and Applications
Oct. 12, 2019 14:00~17:00 Gowild Robotics Co., Ltd Exhibition Meeting Room 3 (Third Floor) NLP meets Knowledge Graph:from QA ,Bot to Analysis
Oct. 12, 2019 14:00~17:00 Beijing Wribot Intelligent Technology Co., Ltd. Exhibition Meeting Room 1 (Third Floor) Natural Language Generation and Its Application
Oct. 12, 2019 14:00~17:00 AI Lab, Lenovo Research Conference Room 1 (3rd Floor) Explainable AI


◆  Natural Language Understanding and Applications

Host: Peking University Founder Group Corp. Ltd.

Chair: Xiaojun HUANG

Description: Understanding natural language is a task far more difficult than superficial processing and analysis of textual contents, whereas it is essential for enhancing the effects of almost all kinds of NLP tasks. This workshop will focus on the frontier academic achievements of natural language understanding and related application practices, including sentiment analysis, automatic proofreading of textual contents, etc. We welcome experts both from academia and industry to participate in discussion and exchange of ideas on “Natural Language Understanding and Applications”.

Time Details
14:00-14:30 Artificial Intelligence Helps Publishing Industry Improve Quality and Efficiency
Yong Yang, Product Director     show abstract/bio
14:30-15:00 NLP based Intelligent Text Proofreading for Chinese
Haihua Xie, Ph.D     show abstract/bio
15:00-15:30 Distributed Representations and Neural Decoding
Chengqing Zong, Professor, Institute of Automation, Chinese Academy of Sciences     show abstract/bio
15:30-16:00 Break
16:00-16:30 Natural Language Processing and Sentiment Analysis
Min Zhang, Distinguished professor, Soochow University     show abstract/bio
16:30-17:00 Machine Reasoning: Combining Knowledge and Pre-trained Models for Better Natural Language Understanding
Nan DUAN, principle researcher/research manager, Microsoft Research Asia.     show abstract/bio


◆  NLP meets Knowledge Graph:from QA,Bot to Analysis

Host: Gowild Robotics Co., Ltd

Chair: Hao SHAO

Description: With the rise of the unsupervised pre-trained language model, significant progress has been made in Natural Language Processing (NLP). Nevertheless, as Dr. Ming Zhou mentioned, “NLP is the Pearl on the crown of AI”. It is not adequate to rely on big data and deep learning to achieve natural interactive experience with agents. Knowledge Graph (KG) is considered as an important bridge from perceptual intelligence to cognitive intelligence,it empowers NLP with a “smart brain” in real applications. This workshop focuses on the landing of NLP in industry. From the perspective of technology and products, we explore the practical application of NLP and KG in QA, chatbot and analytical services, and also discuss the opportunities and challenges in the future.

Time Details
14:00 Welcome Speech
Hao Shao
14:05-14:50 Towards Smart Enterprise: from Semantic Search to Interactive BI Analysis
Haofen Wang, a Distinguished Research Fellow of Design & Innovation School, Tongji University     show abstract/bio
14:50-15:40 NLP Practices for Producing and Consuming Financial Knowledge Graph
Li Ding, Co-Founder and CTO of     show abstract/bio
15:40-16:00 Break
16:00-16:45 Natural Language Interaction Products in Practice: to Business & to Customer
Hao Shao, Executive Director of Gowild AI Lab     show abstract/bio
17:00 END


◆  Natural Language Generation and Its Application

Host: Beijing Wribot Intelligent Technology Co., Ltd.

Chair: Jianhua GAO

Description: NLG (Natural-Language Generation) is a science of studying how to generate high-quality readable text information by machine. According to different information inputs, NLG can be classified into “data to text”, “text to text”, “meaning to text”, “image to text”, etc. In recent years, a great number of cutting-edge NLG researches have been made in the AI field. Moreover, some of these researches have been already applied into the industry. This workshop will introduce latest scientific achievements about NLG and breakthroughs made by NLG in industrial applications. Therefore, the workshop will include talks from leading experts of NLG from both academia and industry.

Time Details
14:00-14:05 Welcom Speech
Jianhua Gao
14:05-14:45 Controllable Text Generation
Minlie Huang, Associate professor in Tsinghua University     show abstract/bio
114:45-15:25 Diving into the Training for the Sequence-to-Sequence Model
Yang Feng, Associate Professor in ICT/CAS     show abstract/bio
15:25-16:00 Break
16:00-16:30 Sentimental Text Generation
Xiaojun Wan, Professor in Peking University     show abstract/bio
16:30-17:00 NLG’s Application in the Media Industry
Dengping Zhou, The Founder of Beijing Wribot Intelligent Technology Co.     show abstract/bio
17:00 END


◆  Explainable AI

Host: AI Lab, Lenovo Research

Chair: Yangzhou DU, Gang CHEN

Description: Deep learning has contributed to the recent big progresses in artificial intelligence. In comparison to the traditional machine learning methods such as decision tree, support vector machine, deep learning has achieved significant improvement in predication accuracy. However, deep neural network is very weak in interpretability and explainability of the reasoning process and decision results. In fact, DNN is a blackbox both for developers and for the users. Some people consider DNN and deep learning in the current stage as alchemy, not as science. In many real world applications such as business decision support or optimization, medical decision or diagnostics support, explainability and interpretability and transparency of our AI systems are very important, for the users, for the people who are affected by the AI systems, and in particular, for the researchers and developers. In the recent years, the explainability and explainable AI have received big attention from research to industry. This workshop will provide a forum for sharing the insights about the scope and research topics about explainable AI, exchanging the state-of-the art of explainable AI research and applications, discussing future direction and further work in this area.

Time Details
14:00-15:00 Lifelong and Continual Learning on the Job
Bing Liu, Professor, University of Illinois at Chicago / Peking University     show abstract/bio
15:00-15:30 Paper Oral Reports
15:25-16:00 Break
16:00-17:45 Paper Oral Reports
pku pku pku
pku pku pku
zyd AIT JD zyd
zyd zyd zyd zyd
zyd zyd zyd
zyd zyd zyd zyd
zyd zyd zyd