About US

recently update: 2014-09

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SJTU Department of Computer Science Sino-Germany Joint Lab for Language Technology


UDS-SJTU Joint research lab for language technology has been established in March 2005 and located in the Minhang campus of SJTU. It is the result of the long-term cooperation between Shanghai Jiaotong University (SJTU) and University of the Saarland(UDS) , German research center for artificial intelligence. University of the Saarland, a renowned university in Germany, has solid strength and high reputation in the area of computer science. SJTU is one of the oldest and best universities in China. Both research teams from both universities have made a lot of achievements after many years successful scientific cooperation including joint application and research on projects, research staff exchange, joint workshops holding and so on.

The language technology has developed rapidly with the tremendous expansion of the Internet. Language processing is embedded in many software applications assisting their users in exploiting the wealth of digital content without drowning in the growing flood of information. Human language is the fabric of the multi-medial WWW, because language is the medium in which society and organizations express their precious knowledge. Language technology can make computers understand human languages, realize intelligent processing and provide more service for human beings. As a new platform for the research and cooperation of the two universities, the joint lab will join forces to develop powerful multilingual applications and to shorten their way from the research lab to commercialization.

There are about 20 undergraduate students, graduate students, Ph.D students and research staffs in the joint lab.

Current Research:

  1. Research on sentimental classification from Microblogs
    Microblogging has become popular among the Internet users. People distributes information and shares their opinions and experiences every day. Our research focuses on automatically detecting different subjective categories such as “anger”,”disgust”,”fear”,happy”,”likeness”,”sad” and “surprise”. We have attended the competition of classification task held by the 2nd conference on natural language processing and Chinese computing and achieved the result.
    The group has attended the competition of task 4 of COAE2014 held by the Chinese information processing society of China and the 2014 result(system SJTU_LTLAB)update.The group has recently cooperated with Croton Media Company to design and implement an algorithm to do sentimental analysis on reviews of TV drama.
    Our group: Wang Dongfang (group leader), Zhang Sheng, Li Tianpeng, Song Xiaodong, Wen Yu.
  2. Microblog Events information extraction and analysis
    Microblogs have become the second largest news media based on the 2011 survey report on the Chinese Network Opinion Index, published by the Public Opinion Research Institute of the Communication University of China. Huge amount of comments or opinions are available on the Internet, with the fast growing of users and the population of high advanced mobile devices. According to the analysis, the source of Microblog events is either from news reports or from the posts of some users. Our research is mainly focused on the comments extraction from the Microblogs about some specific event, which includes the extraction of aspects of events, comments and their relationships. Several problems need to be solved, such as how to identify comments or opinions and their objects based on the features of lexicon, syntax and event types. Meanwhile, we will explore the diversities of the contents and distribution properties among news media and Microblogs.
    The group has attended the competition of Chinese sentimental analysis from the Microblogging held by CCF and get a good result. 2012 Result 2013 Result.
    The group has attended the competition of task 5 of COAE2014 held by the Chinese information processing society of China and the 2014 result(system SJTU_LTLAB)update.
    Research Group: Zhang Sheng (Group Leader), Li Zhenzhen.
  3. Topic Evolution Research
    Topic Evolution aims at how a topic changes over time from its content and its strength. It has wide applications, such as detecting the new research trends in academic research fields, discovering the propagation of a topic in the social networks, and describing the evolution of events in the news reports. There are three stages, namely topic discovery, topic relating between different time periods and topic evolution. Topic discovery is to mine the semantic information from a large-scale text document collection; topic relating concerns on how to find the same or similar topics from different time periods; topics evolution constructs an evolution path across the time axis. The evolution results show that there are one-to-one, many-to-one and one-to-many relationships among topics of different periods.
    Research Group: Zhu Qifeng (Group Leader), Kou Wanqiu, Su Yifan

Completed Project:

  1. Threads and Topics Detection for News Events
    Duration: 2009~2011
    Group Leader: Li, Fang
    Group Members: Chu Keming, Wang Quanjian, Ding Xiaoshan, Wang Letian, Qian Zheyi, Wang Shun, Shan Bin
  2. Fine-grained Research Over Chinese Text Opinion Mining
    Duration: 2008~2010
    Group Leader: Yao Tianfang
    Chinese Group Members: Zhang Dongmo, Li Linlin, Zhang Xiaokai, Yin Hang, Huang Gaohui, Liu Quansheng, Song Hongyan, Liu Jun, Zhang Xiaojun, Chen Mosha
    German Members: Hans Uszkoreit, Xu Feiyu, Chen Xiweng, Wang Rui
  3. Teenage Interests Analysis Based on Web Access Log
    Duration:
    Group Leader: Li Fang
    Group Members: Li Feng, Wu Yanchen, Wang Xingguang, Li Yihong
  4. An Intelligent Platform for Information Retrieval
    Duration: 2004~2006
    Group Leader: Li Fang
    Group Members: Ying Han, Liu Kebin, Liu Lei, Fi Feng, Zhou Kai

Contact

  • Address: Electronic,Information and Electrical Engineering Building 3, Room 508&502, Shanghai Jiaotong University, 800 Road Dongchuan, Minhang District, Shanghai.
  • Zip Code:200240
  • E-mail:fli@sjtu.edu.cn

Posted on June 11th, 2009 by admin

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