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Exploring criteria for successful query expansion in the genomic domain

Nicola Stokes, Yi Li, Lawrence Cavedon, Justin Zobel
2008 Information retrieval (Boston)  
Based on the outcome of these experiments, we discuss the success factors required for effective query expansion with respect to various sources of term expansion, such as corpus-based cooccurrence statistics  ...  Query Expansion is commonly used in Information Retrieval to overcome vocabulary mismatch issues, such as synonymy between the original query terms and a relevant document.  ...  of Excellence program.  ... 
doi:10.1007/s10791-008-9073-9 fatcat:rpfredqpjzdulds7b7q5qrjuhq

Summarization-based query expansion in information retrieval

Tomek Strzalkowski, Jin Wang, Bowden Wise
1998 Proceedings of the 36th annual meeting on Association for Computational Linguistics -  
First, the system assists the searcher in building a comprehensive statement of information need, using automatically generated topical summaries of sample documents.  ...  In this paper, we investigate the role of automated document summarization in building effective search statements.  ...  This paper is based upon work supported in par~ by the Defense Advanced I{esearch Projects Agency under Tipsiler Phase-3 Contrac~i 97-F157200-000.  ... 
doi:10.3115/980691.980774 dblp:conf/acl/StrzalkowskiWW98 fatcat:cus5ehakkjbtxawftxrjflsavq

Deep Learning Based Question Answering Search Engine

Mrunal Malekar
2021 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
The research work also focuses on how to improve the search accuracy of the Information Retrieval based Elastic Search engine which returns the relevant documents which may contain the answer.  ...  Using Information Retrieval, one can search for the relevant documents which may contain the answer but it won't give the exact answer for the question asked.  ...  : In Query expansion (QE) certain terms are added to the question input query to minimize the query document mismatch and improve the retrieval performance.  ... 
doi:10.32628/cseit2172139 fatcat:isujeiqnxjbijadog5dltzsgv4

Benchmark for Complex Answer Retrieval [article]

Federico Nanni, Bhaskar Mitra, Matt Magnusson, Laura Dietz
2017 arXiv   pre-print
We present early results from a variety of approaches -- from standard information retrieval methods (e.g., tf-idf) to complex systems that using query expansion using knowledge bases and deep neural networks  ...  The goal is to offer future participants of this track an overview of some promising approaches to tackle this problem.  ...  aims to summarize the query-relevant parts of a document.  ... 
arXiv:1705.04803v1 fatcat:vgboyaprvzgvlevjs3xunlmhn4

Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match [article]

Keping Bi, Qingyao Ai, W. Bruce Croft
2018 arXiv   pre-print
Relevance feedback techniques assume that users provide relevance judgments for the top k (usually 10) documents and then re-rank using a new query model based on those judgments.  ...  on term-level semantic similarity.  ...  In the third version of the relevance model (RM3) [16] , the probabilities of expansion terms are estimated with occurrences of the terms in feedback documents.  ... 
arXiv:1812.08870v1 fatcat:fwyo536aq5eyppr3vxk4cjkaie

Segment-level display time as implicit feedback

Georg Buscher, Ludger van Elst, Andreas Dengel
2009 Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09  
A controlled study has been conducted where 32 participants had to view documents in front of an eye tracker, query a search engine, and give explicit relevance ratings for the results.  ...  But surprisingly, for re-ranking and query expansion it did work as well as eye-tracking-based feedback.  ...  Furthermore, we wanted to compare such behavior-based evidence to non behavior-based pseudo relevance feedback from the query itself on the level of paragraphs.  ... 
doi:10.1145/1571941.1571955 dblp:conf/sigir/BuscherED09 fatcat:huhd5sstyjenxnbfmtthgu24r4

Benchmark for Complex Answer Retrieval

Federico Nanni, Bhaskar Mitra, Matt Magnusson, Laura Dietz
2017 Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '17  
We present early results from a variety of approaches -from standard information retrieval methods (e.g., TF-IDF) to complex systems that adopt query expansion, knowledge bases and deep neural networks  ...  to outlines of Wikipedia articles representing complex information needs.  ...  Acknowledgements e publication is funded in part through the scholarship of the Eliteprogramm for Postdocs of the Baden-Wür emberg Sti ung (project "Knowledge Consolidation and Organization for eryspeci  ... 
doi:10.1145/3121050.3121099 dblp:conf/ictir/NanniMMD17 fatcat:wtkbphutorcmvnhdz7mvtce6vq

Cross-Language Experiments with the IR-n System [chapter]

Fernando Llopis, Rafael Muñoz
2004 Lecture Notes in Computer Science  
This paper describes the third participation of IR-n system at CLEF-2003. Two previous participation are focused on Spanish monolingual task.  ...  These results shows that IR-n system obtains good scores for the three tasks improving the average of the CLEF 2003 systems.  ...  Our proposal is based on the fact that if a passage is relevant then the document is also relevant.  ... 
doi:10.1007/978-3-540-30222-3_11 fatcat:4zfvztqnhvb3dbfg4uul2hcgne

Evaluating Natural Language Processing Techniques in Information Retrieval [chapter]

Tomek Strzalkowski, Fang Lin, Jin Wang, Jose Perez-Carballo
1999 Text, Speech and Language Technology  
Content-term expansion − Adding, deleting or re-weighting of terms − Content terms from documents judged relevant are added to the query − Weights of all terms are adjusted in order to reflect the relevance  ...  Full-text expansionExpansion material can be found in both relevant and non-relevant documentsThe presence of such text in otherwise non-relevant documents underscores the inherent limitations of  ... 
doi:10.1007/978-94-017-2388-6_5 fatcat:aghtqm4pzvahdkscj2srnetxaa

A Data Driven Approach to Query Expansion in Question Answering

Leon Derczynski, Jun Wang, Robert Gaizauskas, Mark A. Greenwood
2012 arXiv   pre-print
These words are then used to evaluate the performance of a query expansion method. Data driven extension words were found to help in over 70% of difficult questions.  ...  These words can be used to improve and evaluate query expansion methods.  ...  away from ones in documents relevant to query terms.  ... 
arXiv:1203.5084v1 fatcat:jedcozj62vckxbvzpzpbgxlpay

Translingual information retrieval: learning from bilingual corpora

Yiming Yang, Jaime G. Carbonell, Ralf D. Brown, Robert E. Frederking
1998 Artificial Intelligence  
Translingual information retrieval (TLIR) consists of providing a query in one language and searching document collections in one or more different languages.  ...  Also, the previous very high LSI results in the literature based on "mate-finding" were superseded by more realistic relevance-based evaluations; LSI performance proved comparable to that of other statistical  ...  We are also grateful to Xin Liu for his contributions to the improved and more efficient implementation of the GVSM and LSI methods.  ... 
doi:10.1016/s0004-3702(98)00063-0 fatcat:madtpj3ndze3tapxlqvjafnjne

TREC and TIPSTER experiments with inquery

James P Callan, W.Bruce Croft, John Broglio
1995 Information Processing & Management  
Improvements include transforming forms-based speci cations of information needs into complex structured queries, automatic query expansion, automatic recognition of features in documents, relevance feedback  ...  Experiments with one and two gigabyte document collections are also described.  ...  This research was partially supported by the NSF Center for Intelligent Information Retrieval at the University of Massachusetts, Amherst.  ... 
doi:10.1016/0306-4573(94)00050-d fatcat:byry5vcvfbgetpxvzyfjc7z6oy

Building effective queries in natural language information retrieval

Tomek Strzalkowski, Fang Lin, Jose Perez-Carballo, Jin Wang
1997 Proceedings of the fifth conference on Applied natural language processing -  
Based on our earlier results indicating that NLP is more effective with long, descriptive queries, we allowed for long passages from related documents to be liberally imported into the queries.  ...  In this paper we discuss both manual and automatic procedures for query expansion within a new stream-based information retrieval model. 299 Report Documentation Page Form Approved OMB No. 0704-0188 Public  ...  We acknowledge the following members of our TREC-5 team who participated in the query expansion experiments: Louise Guthrie, Jussi Karlgren, Jim Leistensnider, Troy Straszheim, and Jon Wilding.  ... 
doi:10.3115/974557.974601 dblp:conf/anlp/StrzalkowskiLCW97 fatcat:a4koccfixnde5ov3z6b7zz5o4q

Grey Relational Analysis for Query Expansion [chapter]

Junjie Zou, Zhengtao Yu, Huanyun Zong, Jianyi Guo, Lei Su
2013 Communications in Computer and Information Science  
For one-sidedness of the various qualitative expansion methods, we propose a query terms selection method based on Grey Relational Analysis (GRA).We called the fusion expansion technique with GRA (FET-GRA  ...  It calculates weight of expansion term by varied qualitative expansions and comprehensive weight by FET-GRA and thus extracts expansion term in terms of the weight.  ...  Previous work [7, 8] is also a kind of global analysis technology based on document, which selects the words with higher word frequencies by statistics as expansion terms added to the original query.  ... 
doi:10.1007/978-3-642-41644-6_37 fatcat:wcb5kosui5fvrkaydiy723durm

Advances in IR Query Expansion

ROSHNI SINGH, LEENA R. RAGHA
2018 International Journal of Advanced Research in Computer Science and Software Engineering  
Researchers have worked on problem of identifying the correct essence of the user query by adding additional useful terms. They are currently working on this kind of Query Expansion (QE).  ...  Due to huge variation in framing a query by the individuals, matching of the terms with the document to be searched are facing many challenges.  ...  Now search system will find out expansion word based on the closeness of the relevant document and will suggest query modification in response to this feedback.  ... 
doi:10.23956/ijarcsse.v8i5.685 fatcat:jbuqixc2sjd6jeeflmdzjjtrtu
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