NLPCC 2014 Tutorials / ADL 52 Detail Program
| December 4, 2014: Registration | ||
| 14:30–17:30 | Registration | The Fourth Floor, the Library of Shenzhen University Town(深圳大学城图书馆4楼) |
| December 5, 2014 | ||
| 08:00–12:00 | Registration | The Fourth Floor, the Library of Shenzhen University Town(深圳大学城图书馆4楼) |
| 08:30-09:00 | Opening Ceremony & Group Photo | |
| Morning | Lecture 1: Wikification and Beyond: The Challenges of Entity and Concept Grounding By JI Heng, Rensselaer Polytechnic Institute |
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| 09:00-10:00 | T1-1 | Lesson 1: Motivation and Task Definition, A Skeletal View of Wikification Systems |
| 10:00-10:20 | Break | |
| 10:20-11:20 | T1-2 | Lesson 2: Key Challenges and Recent Advances, New Tasks, Trends and Applications |
| 11:40-12:00 | T1-3 | Lesson 3: QA |
| 12:00-13:30 | Lunch and Break | |
| Afternoon | Lecture 2: Big Learning with Bayesian Methods By ZHU Jun, Tsinghua University |
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| 13:30-15:30 | T2-1 | Lesson 1: Basics, Big Learning Challenges, and Regularized Bayesian Inference |
| 15:30-15:50 | Break | |
| 15:50-16:50 | T2-2 | Lesson 2: Online Learning, Large-scale Topic Graph Learning and Visualization |
| 17:10-17:30 | T2-3 | Lesson 3: QA |
| December 6, 2014 | ||
| Morning | Lecture 3: Sentiment Analysis: Mining Opinions, Sentiments and Emotions By LIU Bing, University of Illinois at Chicago |
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| 09:00-10:00 | T3-1 | Lesson 1: Sentiment analysis essentials |
| 10:00-10:20 | Break | |
| 10:20-11:20 | T3-2 | Lesson 2: Advanced topics |
| 11:40-12:00 | T3-3 | Lesson 3: QA |
| 12:00-13:30 | Lunch and Break | |
| Afternoon | Lecture 4: Semantic Matching in Search By XU Jun, Institute of Computing Technology, CAS |
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| 13:30-14:30 | T4-1 | Lesson 1: Semantic Matching between Query and Document |
| 14:30-14:50 | Break | |
| 14:50-16:50 | T4-2 | Lesson 2: Approaches to Semantic Matching in Search |
| 17:10-17:30 | T4-3 | Lesson 3: QA |
| December 7, 2014 | ||
| Morning | Lecture 5: From simple search to search intelligence: the evolution of search engines By NIE Jianyun, University of Montreal |
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| 09:00-10:00 | T5-1 | Lesson 1: Traditional IR models, query and document expansion |
| 10:00-10:20 | Break | |
| 10:20-11:20 | T5-2 | Lesson 2: Advanced methods of intelligent IR: mining relations in documents and query logs, mining search intents |
| 11:40-12:00 | T5-3 | Lesson 3: QA |
| 12:00-13:30 | Lunch and Break | |
| Afternoon |
Lecture 6: Machine Learning for Search Ranking and Ad Auction By LIU Tieyan, Microsoft Research |
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| 13:30-15:30 | T6-1 | Lesson 1: Machine learning for Web search |
| 15:30-15:50 | Break | |
| 15:50-16:50 | T6-2 | Lesson 2: Machine learning for computational advertising |
| 17:10-17:30 | T6-3 | Lesson 3: QA |
| 17:40-18:00 | ADL 52 Closing Ceremony | |
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