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Retrieval-Enhanced Suggestibility: A Retrospective and a New Investigation

Jason C.K. Chan, Krista D. Manley, Kathryn Lang
2017 Journal of Applied Research in Memory and Cognition  
Taking a memory test before being exposed to misinformation can ironically increase the likelihood that an eyewitness would fall prey to the misinformation effect-a finding termed Retrieval-Enhanced Suggestibility  ...  Taking a memory test before being exposed to misinformation can ironically increase the likelihood that an eyewitness would fall prey to the misinformation effect -a finding termed Retrieval-Enhanced Suggestibility  ...  Word Count: 154 Retrieval-Enhanced Suggestibility: A Retrospective and a New Investigation Repeated interviews are a fact of life in the legal proceedings of a criminal trial.  ... 
doi:10.1016/j.jarmac.2017.07.003 fatcat:ploagxqmqbatfotmwwy2kmyuky

Evaluating the Testing Effect in the Classroom: An Effective Way to Retrieve Learned Information

Elif Atabek Yiğit, Fatime Balkan Kıyıcı, Gamze Çetinkaya
2014 Eurasian Journal of Educational Research  
exposure to learning material during a test and (2) tests may enhance learning via retrieval processes that work on memory.  ...  Therefore, in this study, it is possible that the testing effect resulted from tests' enhancing power on learning via retrieval processes rather than additional exposure to learning material via tests.  ... 
doi:10.14689/ejer.2014.54.6 fatcat:b234bl7bmfgsfn2flwpinf2mke

Supervised topic models with word order structure for document classification and retrieval learning

Shoaib Jameel, Wai Lam, Lidong Bing
2015 Information retrieval (Boston)  
We propose a novel supervised topic model for document retrieval learning which can be regarded as a pointwise model for tackling the learning-to-rank task.  ...  Likewise, supervised topic models with word order structure have not been explored in document retrieval learning.  ...  When conducting posterior inference, we can directly regularize the posterior distribution, which leads to a new posterior regularized by a constraint.  ... 
doi:10.1007/s10791-015-9254-2 fatcat:4yd2r47wwbaqzjmmh52p5xglam

UnifieR: A Unified Retriever for Large-Scale Retrieval [article]

Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Kai Zhang, Daxin Jiang
2022 arXiv   pre-print
Experiments on passage retrieval benchmarks verify its effectiveness in both paradigms. A uni-retrieval scheme is further presented with even better retrieval quality.  ...  Inspired by their complementary global-local contextualization and distinct representing views, we propose a new learning framework, UnifieR, which unifies dense-vector and lexicon-based retrieval in one  ...  Query ID:1088347// weather in new york city ny Passage+ ID:7094280// Title: -Body: New York, NY -Weather forecast from Theweather.com.  ... 
arXiv:2205.11194v1 fatcat:ttwz7flj75dg7ezchxsos2tfum

Improving Biomedical Information Retrieval with Neural Retrievers [article]

Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral
2022 arXiv   pre-print
We show that BM25 and our method can complement each other, and a simple hybrid model leads to further gains in the large corpus setting.  ...  Extensive experiments and analysis on the BioASQ challenge suggest that our proposed method leads to large gains over existing neural approaches and beats BM25 in the small-corpus setting.  ...  Any opinions, findings, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the supporting agencies.  ... 
arXiv:2201.07745v1 fatcat:u4x346mylvhjbcuvezdgkitkky

Passage Retrieval by Shrinkage of Language Models

Fei Song, Joe Vasak, Wei Wang
2006 Text Retrieval Conference  
Acknowledgements The authors would like to thank NSERC (National Sciences and Engineering Council of Canada) and OCE (Ontario Centres of Excellence) for their funding support, which helped us tremendously  ...  For all three runs, the results are enhanced by narrowing the scopes of the retrieved passages for more specific answers (section 3.3).  ...  Enhancing the Results for Coverage and Specificity For TREC 2006 Genomics Track, the retrieved results are evaluated at three different levels: passage retrieval, aspect retrieval, and document retrieval  ... 
dblp:conf/trec/SongVW06 fatcat:m7yfjlmklfaqrlifecryv5dcta

TREMA-UNH at TREC 2018: Complex Answer Retrieval and News Track

Sumanta Kashyapi, Shubham Chatterjee, Jordan Ramsdell, Laura Dietz
2018 Text Retrieval Conference  
This notebook describes the submission of team TREMA-UNH to the TREC Complex Answer Retrieval track and the TREC News track in 2018.  ...  Our methods focus on passage retrieval, entity-aware passage retrieval, and entity retrieval.  ...  Ecm uses the entity context model in a non-standard way, where the whole page is used instead of short passages: After retrieving a feedback run of paragraphs or Wikipedia pages with BM25, each page is  ... 
dblp:conf/trec/KashyapiCRD18 fatcat:sbbwyr55xretva3rekh5kdojye

LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval [article]

Canwen Xu and Daya Guo and Nan Duan and Julian McAuley
2022 arXiv   pre-print
We then propose Lexicon-Enhanced Dense Retrieval (LEDR) as a simple yet effective way to enhance dense retrieval with lexical matching.  ...  We evaluate LaPraDoR on the recently proposed BEIR benchmark, including 18 datasets of 9 zero-shot text retrieval tasks.  ...  Acknowledgments We would like to thank the anonymous reviewers for their insightful comments. We would like to thank the authors of BEIR , Nandan Thakur and Nils Reimers, for their support.  ... 
arXiv:2203.06169v2 fatcat:z6bfdcuynrcfhe4dvopehno7wa

Hostage retrieval

G Turnbull
1997 Journal of the Royal Society of Medicine  
In the same volume Robert Graves, invited to review the history of brainwashing, emphasized that basic human behavioural patterns had changed little with the passage of time.  ...  Interpersonal stresses are the result of overt and covert frictions leading to irritability and interdependence for survival.  ... 
pmid:9370981 pmcid:PMC1296523 fatcat:jbilsswrgng2xaqlhxay56wwse

Structured positional entity language model for enterprise entity retrieval

Chunliang Lu, Lidong Bing, Wai Lam
2013 Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13  
We investigate the problem of general entity retrieval for enterprise websites.  ...  Different from existing language models for retrieval, our proposed model considers both the proximity and the structured webpage content in a unified manner.  ...  Combined with our structured content transformation, we can handle entity retrieval in an effective way. Extensive experiments on benchmark datasets demonstrate the effectiveness of our framework.  ... 
doi:10.1145/2505515.2505702 dblp:conf/cikm/LuBL13 fatcat:h5zn5lf7nrcetoe544yhmt73im

Retrieval-Based Learning [chapter]

Jeffrey D. Karpicke, Melissa Lehman, William R. Aue
2014 The psychology of learning and motivation  
Practicing retrieval is a powerful way to promote learning and long-term retention. This chapter addresses the theoretical underpinnings of retrieval-based learning.  ...  Future retrieval is enhanced because updated context representations can be used to restrict the search set and hone in on a desired target.  ...  The opinions expressed in this article are those of the authors and do not represent the views of the National Science Foundation, the Institute of Education Sciences, or of the U.S.  ... 
doi:10.1016/b978-0-12-800283-4.00007-1 fatcat:qnph523gfbfchd6zdpp2qmjwda

Pre-training Methods in Information Retrieval [article]

Yixing Fan, Xiaohui Xie, Yinqiong Cai, Jia Chen, Xinyu Ma, Xiangsheng Li, Ruqing Zhang, Jiafeng Guo
2022 arXiv   pre-print
In recent years, the resurgence of deep learning has greatly advanced this field and leads to a hot topic named NeuIR (i.e., neural information retrieval), especially the paradigm of pre-training methods  ...  Recently, a large number of works, which are dedicated to the application of PTMs in IR, have been introduced to promote the retrieval performance.  ...  Acknowledgements References Pre-training Methods in Information Retrieval Acknowledgements  ... 
arXiv:2111.13853v3 fatcat:pilemnpphrgv5ksaktvctqdi4y

Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? [article]

Xilun Chen, Kushal Lakhotia, Barlas Oğuz, Anchit Gupta, Patrick Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih
2022 arXiv   pre-print
Empirically, SPAR shows superior performance on a range of tasks including five question answering datasets, MS MARCO passage retrieval, as well as the EntityQuestions and BEIR benchmarks for out-of-domain  ...  evaluation, exceeding the performance of state-of-the-art dense and sparse retrievers.  ...  This way, we can avoid imitating the errors of the sparse retriever, and devise new ways of training dense retrievers that can potentially surpass hybrid models.  ... 
arXiv:2110.06918v2 fatcat:l3q7vcersrfsxjgjoffwjhmnmy

XML Information Retrieval [chapter]

Mounia Lalmas
2009 Encyclopedia of Library and Information Sciences, Third Edition  
In contrast to HTML, which is mainly layoutoriented, XML follows the fundamental concept of separating the logical structure of a document from its layout.  ...  This document logical structure can be exploited to allow a focused access to documents, where the aim is to return the most relevant fragments within documents as answers to queries, instead of whole  ...  Acknowledgments This article is based on two other articles on XML information retrieval co-written by the author, a book chapter on "Structured Text Retrieval" to appear in the second edition of [8]  ... 
doi:10.1081/e-elis3-120043691 fatcat:kjsqvk2s6bgtpjrca4aef5u2mi

XML Information Retrieval [chapter]

Mounia Lalmas
2011 Understanding Information Retrieval Systems  
In contrast to HTML, which is mainly layoutoriented, XML follows the fundamental concept of separating the logical structure of a document from its layout.  ...  This document logical structure can be exploited to allow a focused access to documents, where the aim is to return the most relevant fragments within documents as answers to queries, instead of whole  ...  Acknowledgments This article is based on two other articles on XML information retrieval co-written by the author, a book chapter on "Structured Text Retrieval" to appear in the second edition of [8]  ... 
doi:10.1201/b11499-29 fatcat:4y2gxbhponcxrbw633dmk5gx5e
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