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| About site: Software/Information Retrieval - The Center for Intelligent Information Retrieval |
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| About site: http://ciir.cs.umass.edu/ |
Title: Software/Information Retrieval - The Center for Intelligent Information Retrieval University of Massachusetts research lab focused on efficient access to large, heterogeneous, distributed, text and multimedia databases. |
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UMASS Amherst: Center for Intelligent Information Retrieval | CIIR Home | About the CIIR | Publications | Membership | Personnel | Contact Us CS Department Internal CIIR Use Welcome! The Center for Intelligent Information Retrieval (CIIR) is one of the leading research groups working in the areas of information retrieval and information extraction. The CIIR studies and develops tools that provide effective and efficient access to large networks of heterogeneous, multimedia information. CIIR accomplishments include significant research advances in the areas of retrieval models, distributed information retrieval, information filtering, information extraction, topic models, social network analysis, multimedia indexing and retrieval, document image processing, search engine architecture, text mining, structured data retrieval, summarization, evaluation, novelty detection, resource discovery, interfaces and visualization, digital libraries, and cross-lingual information retrieval. The CIIR has published more than 800 papers on these areas, and has worked with over 90 government and industry partners on research and technology transfer. Open source software supported by the Center is being used worldwide. Please contact us to talk about potential new projects, collaborations, membership, or joining us as a graduate student or visiting researcher. CIIR Contact Phone: 413-545-0463 Fax: 413-545-1789 Email: |
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University | of | Massachusetts | research | lab | focused | on | efficient | access | to | large, | heterogeneous, | distributed, | text | and | multimedia | databases. |
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http://ciir.cs.umass.edu/
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University of Massachusetts research lab focused on efficient access to large, heterogeneous, distributed, text and multimedia databases.
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