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The Limits of Retrieval Effectiveness [chapter]

Ronan Cummins, Mounia Lalmas, Colm O'Riordan
2011 Lecture Notes in Computer Science  
In this short paper, we conduct experiments to find the upper limits of performance of these systems from three different perspectives.  ...  Best match systems in Information Retrieval have long been one of the most predominant models used in both research and practice.  ...  The authors are grateful to the annotators from Galway and Glasgow who helped in the query extraction process.  ... 
doi:10.1007/978-3-642-20161-5_27 fatcat:rekykod6s5hg5j7oognjtjdldu

A lattice-based approach to query-by-example spoken document retrieval

Tee Kiah Chia, Khe Chai Sim, Haizhou Li, Hwee Tou Ng
2008 Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08  
In this paper, we look at using lattices for the query-by-example spoken document retrieval task -retrieving documents from a speech corpus, where the queries are themselves in the form of complete spoken  ...  To our knowledge, our work is the first to have used a lattice-based approach to query-by-example spoken document retrieval.  ...  RELATED WORK Speech in IR Lattices for Spoken Document Retrieval Spoken document retrieval (SDR) with short textual queries is a relatively well-studied task.  ... 
doi:10.1145/1390334.1390397 dblp:conf/sigir/ChiaSLN08 fatcat:wg7lgyyrcvcypkrh3fqbnez4ui

Spoken query processing for interactive information retrieval

Fabio Crestani
2002 Data & Knowledge Engineering  
Moreover, in the case of short queries, both standard relevance feedback and pseudo relevance feedback can be effectively employed to improve the effectiveness of spoken query processing. Ó  ...  Speech is the most natural and interactive medium of communication and recent progress in speech recognition is making it possible to build systems that interact with the user via speech.  ...  The author wishes to thank Jim Barnett, Stephen Anderson, and Dragon Systems for generating and providing the spoken queries used in this study.  ... 
doi:10.1016/s0169-023x(02)00024-1 fatcat:awb5x7er4jhphg7bpmug6hdazm

The Text REtrieval Conferences (TRECs)

Donna Harman
1996 Proceedings of a workshop on held at Vienna, Virginia May 6-8, 1996 -  
Thanks also go to the TREC program committee and the staff at NIST. The TREC tracks could not happen without the efforts of the track coordinators; our special thanks to them.  ...  , such as the retrieval of spoken "documents" from news broadcasts.  ...  university websites, and laws and judgments from the Australian Attorney General's Department; and the Glasgow Herald and Financial Times newspapers.  ... 
doi:10.3115/1119018.1119070 dblp:conf/tipster/Harman96a fatcat:bxx2gy23cbeenn5ryxedzg3ixe

The text retrieval conferences (TRECS)

Ellen M. Voorhees, Donna Harman
1996 Proceedings of a workshop on held at Baltimore, Maryland October 13-15, 1998 -  
Thanks also go to the TREC program committee and the staff at NIST. The TREC tracks could not happen without the efforts of the track coordinators; our special thanks to them.  ...  , such as the retrieval of spoken "documents" from news broadcasts.  ...  university websites, and laws and judgments from the Australian Attorney General's Department; and the Glasgow Herald and Financial Times newspapers.  ... 
doi:10.3115/1119089.1119127 dblp:conf/tipster/VoorheesH98 fatcat:yo3fnbp2tffqzfjhndiwd4zsre

The Text REtrieval Conferences (TRECs)

Donna Harman
1996 Proceedings of a workshop on held at Vienna, Virginia May 6-8, 1996 -  
the data needed, and completing and reviewing the collection of information.  ...  Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining  ...  Thanks also go to the TREC program committee and the staff at NIST. The TREC tracks could not happen without the efforts of the track coordinators; our special thanks to them.  ... 
doi:10.3115/1119018.1119026 dblp:conf/tipster/Harman96 fatcat:wjklhj3nwnenfkfxben2756yla

Statistical lattice-based spoken document retrieval

Tee Kiah Chia, Khe Chai Sim, Haizhou Li, Hwee Tou Ng
2010 ACM Transactions on Information Systems  
of each document to a query is measured as a probability under such a model.  ...  We present a method for lattice-based spoken document retrieval based on a statistical n-gram modeling approach to information retrieval.  ...  We also experimented with removing stop words from queries and documents, using two different stop word lists: -a 319-word stop list 5 (gla) maintained by the University of Glasgow; and -a 571-word stop  ... 
doi:10.1145/1658377.1658379 fatcat:ncftcuucuzfjleltvj2s6dgss4

Report on the 25th European conference on information retrieval research (ECIR-03)

Fabrizio Sebastiani
2003 SIGIR Forum  
The discussion that followed was very lively, and touched on issues such as the nature and future of the ECIR conference series and of the ESSIR (European Summer School on Information Retrieval) series  ...  The next edition of ECIR (http://ecir04.sunderland.ac.uk/) will take place at the University of Sunderland, UK, from April 5 to 7, 2004, and will be organized by Sharon McDonald and John Tait.  ...  , information extraction from spoken documents, and others.  ... 
doi:10.1145/959258.959261 fatcat:5tvmjt4xkfhirjaeygixjjk3lu

Multimedia information retrieval

Alejandro Jaimes, Mike Christel, Sébastien Gilles, Ramesh Sarukkai, Wei-Ying Ma
2005 Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval - MIR '05  
These results appear to show that, although they realise that the system is not performing natural language analysis, users find natural language queries very natural and effective.  ...  Fox at the University of Virginia.  ...  The document base may also affect these results, as it is well known and expected to be able to answ er all questions on driving. Overall Hybrid Access Browsing Access Query Access  ... 
doi:10.1145/1101826.1101829 dblp:conf/mir/JaimesCGSM05 fatcat:owowzcfhjzd3dfuchmu52kld5a

Experiences in evaluating multilingual and text-image information retrieval

Ana M. García-Serrano, José L. Martínez-Fernández, Paloma Martínez
2006 International Journal of Intelligent Systems  
The "high quality" of the output is related to the integration of different methods to be applied in the IR process and the information included in the retrieved documents, but how can "quality" be measured  ...  In this article, a short description of the current techniques and methods included in an IR system is given, paying special attention to the multilingual aspect of the problem.  ...  retrieving images as answers to a user query using captions and the content of images. • Cross-Language Spoken Document Retrieval~CL-SDR!  ... 
doi:10.1002/int.20154 fatcat:gcdbyz465rh3lbhajyh5t26yuq

Progress in the Application of Natural Language Processing to Information Retrieval Tasks

A. F. Smeaton
1992 Computer journal  
text, text retrieval, text abstracting and summarisation, thesaurus generation from text corpus and conceptual information retrieval.  ...  Techniques of automatic natural language processing have been under development since the earliest computing machines, and in recent years these techniques have proven to be robust, reliable and efficient  ...  Natural language originally evolved as a spoken communication mechanism and the evolution from spoken form to written has not really changed the form of the language much.  ... 
doi:10.1093/comjnl/35.3.268 fatcat:fz3jflo4ijg4xltn7kydzgn7o4

DeASCIIfication approach to handle diacritics in Turkish information retrieval

Ahmet Arslan
2016 Information Processing & Management  
The statistical analysis performed in this study shows that retrieval performance significantly decreases when documents and queries contain letters with different forms, such that documents consist of  ...  In order to tackle this challenge, we propose 3 approaches: token normalization by equivalence classes, document expansion, and query expansion.  ...  Terrier searches TREC and CLEF documents, is written in Java, and was developed at the Department of Computing Science of the University of Glasgow [13].  ... 
doi:10.1016/j.ipm.2015.08.004 fatcat:5gsqzwvzavch3bpeaoexxytyue

Test Collection Based Evaluation of Information Retrieval Systems

Mark Sanderson
2010 Foundations and Trends in Information Retrieval  
This monograph surveys the research conducted and explains the methods and measures devised for evaluation of retrieval systems, including a detailed look at the use of statistical significance testing  ...  This monograph reviews more recent examinations of the validity of the test collection approach and evaluation measures as well as outlining trends in current research exploiting query logs and live labs  ...  detailed natural language information request.  ... 
doi:10.1561/1500000009 fatcat:qdacqkqj25eojkpchctdzvrt2e

Shallow Neural Network and Ontology-Based Novel Semantic Document Indexing for Information Retrieval

Anil Sharma, Suresh Kumar
2022 Intelligent Automation and Soft Computing  
This results in a vocabulary gap when queries and documents use different terms to describe the same concept.  ...  But traditional IR approaches index documents based on the terms that they contain and ignore semantic descriptions of document contents.  ...  The LISA dataset is collected by the Information Retrieval Group at the University of Glasgow and contains 6004 documents containing library and information science abstracts.  ... 
doi:10.32604/iasc.2022.026095 fatcat:nvb7wl5fgzc3vponislug7ibyu

Multimedia Resource Discovery [chapter]

Stefan Rüger
2011 Advanced Topics in Information Retrieval  
Acknowledgements: The paradigms outlined in this chapter and their implementations  ...  documents m and a query q.  ...  In the case of retrieving speech documents against spoken queries the common best practice appears to be not to use low-level feature matching of the processed speech signal, but instead transcribe both  ... 
doi:10.1007/978-3-642-20946-8_7 fatcat:fzndjjwksra6zhdaff6cq3voja
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