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Automatic term mismatch diagnosis for selective query expansion

Le Zhao, Jamie Callan
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
A search engine can use the diagnosis to suggest manual query reformulation, guide interactive query expansion, guide automatic query expansion, or motivate other responses.  ...  The research described here uses the diagnosis to guide interactive query expansion, and create Boolean conjunctive normal form (CNF) structured queries that selectively expand "problem" query terms while  ...  We thank Chengtao Wen, Grace Hui Yang, Jin Young Kim, Charlie Clarke, Gordon Cormack and NIST for helpful discussions, feedback and access to data.  ... 
doi:10.1145/2348283.2348354 dblp:conf/sigir/ZhaoC12 fatcat:ksqca423gfaxpdwuawlcbeumpy

Modeling and solving term mismatch for full-text retrieval

Le Zhao
2012 SIGIR Forum  
term recall reliably. vi word expansion that may use the same set of high quality manual expansion terms.  ...  This thesis addresses a limitation of the fundamental retrieval models, the term mismatch problem, which happens when query terms fail to appear in the documents that are relevant to the query.  ...  Automatic Term Mismatch Diagnosis for Selective Query Expansion People are seldom aware that their search queries frequently mismatch a majority of the relevant documents.  ... 
doi:10.1145/2422256.2422277 fatcat:iboh56u5kvdrhcnt4uqyorwvp4

Feature Weighting in Finding Feedback Documents for Query Expansion in Biomedical Document Retrieval

Jainisha Sankhavara
2020 SN Computer Science  
query expansion.  ...  This paper describes a novel approach for finding relevant documents for feedback in query expansion for biomedical document retrieval.  ...  Automatic query expansion techniques use some feedback documents from which the expansion technique selects terms for expansion of the query.  ... 
doi:10.1007/s42979-020-0069-x fatcat:gqczonzbcvc5fofu3dp7mc7dce

Knowledge-based query expansion to support scenario-specific retrieval of medical free text

Zhenyu Liu, Wesley W. Chu
2005 Proceedings of the 2005 ACM symposium on Applied computing - SAC '05  
Query expansion . Knowledge-based systems  ...  On the OHSUMED testbed, for example, the improvement is more than 5% averaging over all scenario-specific queries studied and about 10% for queries that mention certain scenarios, such as treatment of  ...  Blaine Kristo and his colleagues for their efforts in evaluating the relevancy of expansion terms. We also thank our colleagues in the UCLA Department of Radiology Sciences, Dr.  ... 
doi:10.1145/1066677.1066922 dblp:conf/sac/LiuC05 fatcat:6d4qe2g4vfazto7x7enquucdjq

Knowledge-based query expansion to support scenario-specific retrieval of medical free text

Zhenyu Liu, Wesley W. Chu
2007 Information retrieval (Boston)  
Query expansion . Knowledge-based systems  ...  On the OHSUMED testbed, for example, the improvement is more than 5% averaging over all scenario-specific queries studied and about 10% for queries that mention certain scenarios, such as treatment of  ...  Blaine Kristo and his colleagues for their efforts in evaluating the relevancy of expansion terms. We also thank our colleagues in the UCLA Department of Radiology Sciences, Dr.  ... 
doi:10.1007/s10791-006-9020-6 fatcat:pngvmbno7fblxg5u2um624tria

Question answering in conversations: Query refinement using contextual and semantic information

Maryam Habibi, Parvaz Mahdabi, Andrei Popescu-Belis
2016 Data & Knowledge Engineering  
We compare our query expansion approach with other methods, over queries from the AREX dataset, showing the superiority of our method when either manual or automatic 1 Work performed while at the Idiap  ...  It then expands the queries with keywords that best represent the topic of the query, i.e. expansion keywords accompanied by weights indicating their topical similarity to the query.  ...  Acknowledgments The authors are grateful to the Swiss National Science Foundation (SNSF) for its financial support through the IM2 NCCR on Interactive Multimodal  ... 
doi:10.1016/j.datak.2016.06.003 fatcat:nzo5nnwe4jen3df6b7cadbwvzu

On the query reformulation technique for effective MEDLINE document retrieval

Sooyoung Yoo, Jinwook Choi
2010 Journal of Biomedical Informatics  
Focusing on a query expansion technique based on pseudo-relevance feedback (PRF), this paper addresses the problem by systematically examining the effects of expansion term selection and adjustment of  ...  Implementing a baseline information retrieval system based on the Okapi BM25 retrieval model, we compared six well-known term ranking algorithms for useful expansion term selection and then compared traditional  ...  Introduction Automatic query expansion and relevance feedback (RF) techniques have been proposed to address the query-document mismatch problem in information retrieval.  ... 
doi:10.1016/j.jbi.2010.04.005 pmid:20394839 fatcat:p4yxy57hwncydllajtv42cvehm

DeepSuggest: Using Neural Networks to Suggest Related Keywords for a Comprehensive Search of Clinical Notes

Soheil Moosavinasab, Emre Sezgin, Huan Sun, Jeffrey Hoffman, Yungui Huang, Simon Lin
2021 ACI Open  
DeepSuggest can supplement established ontologies for query expansion.  ...  (e.g., related diagnosis, medications, and procedures).  ...  The expansion of this study is (partially) supported through a Patient-Centered Outcomes Research Institute (PCORI) Award (ME-2017C1-6413) under the name of "Unlocking Clinical Text in EMR by Query Refinement  ... 
doi:10.1055/s-0041-1729982 fatcat:3unqqo6ppnaljnc3rph7bu2ug4

Exploring Evidence Aggregation Methods and External Expansion Sources for Medical Record Search

Dongqing Zhu, Ben Carterette
2012 Text Retrieval Conference  
For instance, for the query "hearing loss", it is difficult for MeSH to provide related expansion terms such as "cochlear", "noise", "auditory", and "binaural" (top-ranked terms from Genomics), "cerumen  ...  This formula estimates the importance of term e i based on its term frequency, inverse document frequency, and feedback document scores. m terms with highest scores p are selected as expansion terms, and  ... 
dblp:conf/trec/ZhuC12 fatcat:y3ykxfvzsfciteybj2jokmrfpq

Improving patient record search: A meta-data based approach

Iman Amini, David Martinez, Xiaodong Li, Mark Sanderson
2016 Information Processing & Management  
The results are found to be consistent over the two years of queries from the TREC Medical test collection.  ...  We find that our approach to evaluate the TREC challenge runs using simulated relevance judgments has a positive correlation with the TREC official results, and our proposed technique for performing PRF  ...  Finally we selected the default top 40 terms for expansion. We refer to this method as ICD-PRF.  ... 
doi:10.1016/j.ipm.2015.07.005 fatcat:r22j66pl7na3rpoq2s4ogfecxm

An IR-Based Approach Utilizing Query Expansion for Plagiarism Detection in MEDLINE

Rao Muhammad Adeel Nawab, Mark Stevenson, Paul Clough
2017 IEEE/ACM Transactions on Computational Biology & Bioinformatics  
Query expansion is performed using the ULMS Metathesaurus to deal with situations in which original documents are obfuscated.  ...  Various approaches to Word Sense Disambiguation are investigated to deal with cases where there are multiple Concept Unique Identifiers (CUIs) for a given term.  ...  Query Expansion Query expansion, the process of adding search terms to a query, has been previously used in IR to deal with problems of vocabulary mismatch [?], [?] .  ... 
doi:10.1109/tcbb.2016.2542803 pmid:26992177 fatcat:koibe2amdzcwdo3ygxf34brjni

Cengage Learning at TREC 2011 Medical Track

Benjamin King, Lijun Wang, Ivan Provalov, Jerry Zhou
2011 Text Retrieval Conference  
We also used three different techniques of query expansion: UMLS related terms, terms from a network built from UMLS, and terms from our medical reference encyclopedias.  ...  This paper details Cengage Learning's submissions for this year's TREC medical track. The techniques we used fall roughly into two categories: information extraction and query expansion.  ...  James McKinley, Alvin Cabansag, Bernard Grunow, Susan Kelsch, Matt Green, Sarah Krot, John Magee, Denise DiGregorio, Ben Katt, Bridget Travers, Shirelle Phelps, Kristin Key for their ideas and support.  ... 
dblp:conf/trec/KingWPZ11 fatcat:ucwznytygjdrfirdza3cdwvpfi

Query Expansion for Medical Domain to Augment the Web Search

2019 International Journal of Engineering and Advanced Technology  
The appropriate query term is added from a medical expert vocabulary which is selected by the classifier based on the euclidean distance and a term based methodology for deciphering the query reformulation  ...  Query feedbacks generally drift from the topic due to the various vocabulary mismatches or due to the ambiguous synonyms.  ...  It is also flexible to add new words to the query. Expansion of queries can be done both manually and automatically Dwork et al (2001) .  ... 
doi:10.35940/ijeat.a2958.109119 fatcat:4nfsvwsy6fbjtfcl7hptru6noa

Automated disease cohort selection using word embeddings from Electronic Health Records

Benjamin S. Glicksberg, Riccardo Miotto, Kipp W. Johnson, Khader Shameer, Li Li, Rong Chen, Joel T. Dudley
2017 Biocomputing 2018  
Methodologies that automatically learn features from EHRs have been used for cohort selection as well.  ...  Using medical concepts as a query, we then rank patients by their proximity in the embedding space and automatically extract putative disease cohorts via a distance threshold.  ...  Acknowledgments We would like to thank the Mount Sinai Data Warehouse for facilitating data accessibility and the Mount Sinai Scientific Computing team for infrastructural support.  ... 
doi:10.1142/9789813235533_0014 fatcat:3y2pdtmhvjbcfe7lc7xe4j6avy

Automated disease cohort selection using word embeddings from Electronic Health Records

Benjamin S Glicksberg, Riccardo Miotto, Kipp W Johnson, Khader Shameer, Li Li, Rong Chen, Joel T Dudley
2018 Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing  
Methodologies that automatically learn features from EHRs have been used for cohort selection as well.  ...  Using medical concepts as a query, we then rank patients by their proximity in the embedding space and automatically extract putative disease cohorts via a distance threshold.  ...  Acknowledgments We would like to thank the Mount Sinai Data Warehouse for facilitating data accessibility and the Mount Sinai Scientific Computing team for infrastructural support.  ... 
pmid:29218877 pmcid:PMC5788312 fatcat:fpydj3oyrjeh7ea3c7czhgjyj4
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