Alphabetical Index of TREC-9 Papers by Organization

Alphabetical Index of TREC-9 Papers by Organization
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AT&T Labs-Research AT&T at TREC-9, page 103 BBN Technologies TREC-9 Cross Lingual Retrieval at BBN, page 106 Bertin Technologies QALC--The Question-Answering System of LIMSI-CNRS, page 325 Cambridge University Spoken Document Retrieval for TREC-9 at Cambridge University, page 117 Carnegie Mellon University kNN at TREC-9, page 127 YFilter at TREC-9, page 135 One Search Engine or Two for Question-Answering, page 235 Chapman University Passive Feedback Collection--An Attempt to Debunk the Myth of Clickthroughs, page 141 Chinese University at Hong Kong TREC-9 CLIR at CUHK Disambiguation by Similarity Values Between Adjacent Words, page 151 CL Research Syntactic Clues and Lexical Resources in Question-Answering, page 157 CSIRO Mathematics and Information Sciences ACSys/CSIRO TREC-9 Experiments, page 167 Melbourne TREC-9 Experiments, page 437 Overview of the TREC-9 Web Track, page 87 CWI, Amsterdam The Mirror DBMS at TREC-9, page 171 Dublin City University Dublin City University Experiments in Connectivity Analysis for TREC-9, page 179 ESPCI Training Context-Sensitive Neural Networks with Few Relevant Examples for the TREC-9 Routing , page 257 Fudan University FDU at TREC-9: CLIR, Filtering and QA Tasks, page 189 Fujitsu Laboratories, Ltd. Fujitsu Laboratories TREC-9 Report, page 203 Hummingbird Hummingbird's Fulcrum SearchServer at TREC-9, page 209 IBM T.J. Watson Research Center English-Chinese Information Retrieval at IBM, page 223 One Search Engine or Two for Question-Answering, page 235 IBM's Statistical Question Answering System, page 229 Illinois Institute of Technology IIT TREC-9-Entity Based Feedback with Fusion, page 241 Imperial College of Science, Technology and Medicine A Simple Question Answering System, page 249 Informatique-CDC Training Context-Sensitive Neural Networks with Few Relevant Examples for the TREC-9 Routing, page 257 IRIT-SIG Mercure at trec9: Web and Filtering tasks, page 263 Johns Hopkins University, APL The HAIRCUT System at TREC-9, page 273 Justsystem Corporation Reflections on "Aboutness" TREC-9 Evaluation Experiments at Justsystem, page 281 KDD R&D Laboratories, Inc. Experiments on the TREC-9 Filtering Track, page 295 Korea Advanced Institute of Science and Technology TREC-9 Experiments at KAIST: QA, CLIR and Batch Filtering, page 303 Korea University Question Answering Considering Semantic Categories and Co-Occurence Density, page 317 LIMSI-CNRS QALC--The Question-Answering System of LIMSI-CNRS, page 325 The LIMSI SDR System for TREC-9, page 335 Microsoft Research The TREC-9 Filtering Track Final Report, page 25 Microsoft Research China TREC-9 CLIR Experiments at MSRCN, page 343 Microsoft Research Ltd. Question Answering Using a Large NLP System, page 355 Microsoft Research Ltd., UK Microsoft Cambridge at TREC-9: Filtering Track, page 361 The MITRE Corporation Another Sys Called Qanda, page 369 MNIS-TextWise Labs CINDOR Trec-9 English-Chinese Evaluation, page 379 National Institute of Standards and Technology Overview of the Ninth Text REtrieval Conference (TREC-9), page 1 TREC-9 Interactive Track Report, page 41 Overview of the TREC-9 Question Answering Track, page 71 Spoken Document Retrieval Track Slides National Taiwan University Description of NTU QA and CLIR Systems in TREC-9, page 389 NCR Corporation IIT TREC-9-Entity Based Feedback with Fusion, page 241 NTT Data Corporation NTT DATA TREC-9 Question Answering Track Report, page 399 Oregon Health Sciences University Further Analysis of Whether Batch and User Evaluations Give the Same Results with a Question-Answering Task, page 407 TREC-9 Interactive Track Report, page 41 Queens College, CUNY TREC-9 Cross Language, Web and Question-Answering Track Experiments using PIRCS, page 417 RICOH Co., Ltd. Structuring and Expanding Queries in the Probablistic Model, page 427 RMIT University Melbourne TREC-9 Experiments, page 437 Rutgers University Support for Question-Answering in Interactive Information Retrieval: Rutgers' TREC-9 Interactive Track Experience, page 463 Logical Analysis of Data in the TREC-9 Filtering Track, page 453 IBM's Statistical Question Answering System, page 229 SabIR Research, Inc. SabIR Research at TREC-9, page 475 Query Expansion Seen Through Return Order of Relevant Documents, page 51 The TREC-9 Query Track, page 81 Southern Methodist University FALCON: Boosting Knowledge for Answer Engines, page 479 Sun Microsystems Laboratories Halfway to Question Answering, page 489 Syracuse University Question Answering: CNLP at the TREC-9 Question Answering Track, page 501 TNO-TPD TNO-UT at TREC-9: How Different are Web Documents?, page 665 Tsinghua University China TREC-9 CLIR Experiments at MSRCN, page 343 U.S. Government IIT TREC-9 - Entity Based Feedback with Fusion, page 241 Universidad de Alicante A Semantic Approach to Question Answering Systems, page 511 Universitá di Pisa - Italy The PISAB Question Answering System, page 621 Université de Montréal TREC-9 CLIR Experiments at MSRCN, page 343 Goal-Driven Answer Extraction, page 563 The System RELIEFS: A New Approach for Information Filtering, page 573 Université de Neuchâtel Report on the TREC-9 Experiment: Link-based Retrieval an Distributed Collections, page 579 University of California at Berkeley TREC-9 Cross-Language Information Retrieval (English-Chinese) Overview, page 15 English-Chinese Cross-Language IR Using Bilingual Dictionaries, page 517 University of Glasgow Question Answering, Relevance Feedback and Summarisation: Trec-9 Interactive Track Report, page 523 University of Iowa Filters and Answers: The University of Iowa TREC-9 Results, page 533 University of Maryland TREC-9 Experiments at Maryland: Interactive CLIR, page 543 University of Massachusetts INQUERY and TREC-9, page 551 University of Melbourne Melbourne TREC-9 Experiments, page 437 University of Michigan One Search Engine or Two for Question-Answering, page 235 University of Nijmegen Incrementality, Half-life, and Threshold Optimization for Adaptive Document Filtering, page 589 University of North Carolina, Chapel Hill Information Space Based on HTML Structure, page 601 University of Padova, Italy Web Document Retrieval Using Passage Retrieval, Connectivity Information, and Automatic Link Weighting--TREC-9 Report, page 611 University of Sheffield University of Sheffield TREC-9 QA System, page 635 The Thisl SDR System at TREC-9, page 627 Sheffield Interactive Experiment at TREC-9, page 645 University of Southern California Question Answering in Webclopedia, page 655 University of Twente, CTIT TNO-UT at TREC-9: How Different are Web Documents?, page 665 University of Waterloo, CTIT Question Answering by Passage Selection (MultiText Experiments for TREC-9), page 673 University of Bangkok, Thailand Kasetsart University TREC-9 Experiments, page 289 Waseda University Experiments on the TREC-9 Filtering Track, page 295 WhizzBang Labs The TREC-9 Filtering Track Final Report, page 25
Last updated: Thursday, 08-Jan-2004 16:02:52 EST Date created: Tuesday, 01-Aug-00 trec@nist.gov