Overview of the TREC-2013 Microblog Track (Notebook Draft) Jimmy Lin1 and Miles Efron2 1 2

Source URL: www.umiacs.umd.edu

• Information retrieval
• Natural language processing
• Text Retrieval Conference
• Real-time web
• Twitter
• Apache Thrift
• Application programming interface
• Information science
• Computing
• Science

CLARIT Experiments in Batch Filtering: Term Selection and Threshold Optimization in IR and SVM Filters David A. Evans, James Shanahan, Norbert Roma, Jeffrey Bennett, Victor Sheftel, Emilia Stoica, Jesse Montgomery, David

Source URL: trec.nist.gov

• Natural language processing
• Model selection
• Information retrieval
• Statistical classification
• Support vector machines
• Text Retrieval Conference
• Kernel methods
• Cross-validation
• Perceptron
• Machine learning
• Statistics
• Artificial intelligence

A Formal Approach to Score Normalization for Meta-search R. Manmatha and H. Sever Center for Intelligent Information Retrieval Computer Science Department University of Massachusetts Amherst, MA 01003

Source URL: ciir.cs.umass.edu

• Text Retrieval Conference
• Precision and recall
• Normal distribution
• Mixture model
• Search engine indexing
• Relevance
• Metasearch engine
• Information science
• Information retrieval
• Science

TRECVID 2008 –Goals, Tasks, Data, Evaluation Mechanisms and Metrics Paul Over {[removed]} George Awad {[removed]} Travis Rose {[removed]} Jon Fiscus {[removed]}

Source URL: www-nlpir.nist.gov

• Science
• Natural language processing
• Information retrieval
• Artificial intelligence
• Conferences
• TRECVID
• Text Retrieval Conference
• Speech recognition
• Video content analysis
• Computational linguistics
• Information science
• Computer vision

K-Space at TRECVid 2008 Peter Wilkins, Daragh Byrne, Gareth J.F.Jones, Hyowon Lee, Gordon Keenan, Kevin McGuinness, Noel E. O’Connor, Neil O’Hare, Alan F. Smeaton, Tomasz Adamek Centre for Digital Video Processing &

Source URL: www-nlpir.nist.gov

• Image retrieval
• MPEG-7
• Multimedia Information Retrieval
• TRECVID
• Text Retrieval Conference
• Relevance
• Visual descriptors
• Key frame
• Document retrieval
• Information science
• Information retrieval
• Science

Data-Intensive Question Answering Eric Brill, Jimmy Lin, Michele Banko, Susan Dumais and Andrew Ng Microsoft Research One Microsoft Way Redmond, WA 98052 {brill, mbanko, sdumais}@microsoft.com

Source URL: trec.nist.gov

• Natural language processing
• Computational linguistics
• Text Retrieval Conference
• Question answering
• Relevance feedback
• Yahoo! Answers
• Document retrieval
• Database normalization
• N-gram
• Information science
• Information retrieval
• Science

TREC2001 Question-Answer, Web and Cross Language Experiments using PIRCS K.L. Kwok, L. Grunfeld, N. Dinstl and M. Chan Computer Science Department, Queens College, CUNY Flushing, NY[removed]Introduction

Source URL: trec.nist.gov

• Text Retrieval Conference
• Document retrieval
• Stemming
• Search engine indexing
• RetrievalWare
• Concept Search
• Information science
• Information retrieval
• Science

Patterns of Potential Answer Expressions as Clues to the Right Answers M. M. Soubbotin InsightSoft-M, Moscow, Russia [removed] Abstract The core of our question-answering mechanism is searching for predef

Source URL: trec.nist.gov

• Information retrieval
• Natural language processing
• Linguistics
• Artificial intelligence applications
• Human communication
• Question answering
• Question
• Pattern
• Text Retrieval Conference
• Science
• Information science
• Computational linguistics

TREC 2011 Legal Track – Learning Task Guidelines (June 27, [removed]Click here for a web version of this document.] Each year since its inception in 2006, the TREC Legal Track has included one or more tasks that model th

Source URL: plg.uwaterloo.ca

• Text Retrieval Conference
• Responsiveness
• Request for production
• Information retrieval

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Source URL: trec.nist.gov