Multilingual Multidocument Information Tracking and Summarization

We propose to develop techniques to explore and summarize large online, quickly changing multilingual collections. Our work will make possible automated tracking of events over time, summarization of multiple documents on the event of interest, multilingual summarization using techniques to avoid full machine translation where possible, and a set of domain independent, portable tools that will be used for all three tasks. A key feature of our work will be the integration of robust, statistical techniques, shallow linguistic approaches, and machine learning to automatically acquire any new rules or data required to move the system to new languages. Multilingual tracking and summarization will be based on identification and translation of terms, using information fusion techniques in summarization to fill in gaps and resolve errors and ambiguity due to translation. To support these capabilities, our work features representation and identification of events through extraction of participants, location, and time, and summarization through reformulation of extracted phrases, using both language generation and statistical methods.
NewsBlasterThe NewsBlaster project showcases many of the methodologies which have resulted from TIDES research so far. Every night, NewsBlaster crawls the web, starting from many popular news sites, searching for news articles. These articles, along with images and captions (if any), are downloaded. They are then clustered into groups of articles representing single events and categorized into sections similar to those from manually constructed news sites. A user can select a single event (cluster) to obtain an automatically generated summary of the event based on all the articles in the cluster. Appropriate images, if any, will also be displayed with the summary. NewsBlaster provides an efficient way for users to obtain daily updates of news. Currently, it only works with English news articles, but plans are underway to add multilingual capabilities.






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