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Analogy-Based and Case-Based Reasoning: Two sides of the same coin [article]

Michael Gr. Voskoglou, Abdel-Badeeh M. Salem
2014 arXiv   pre-print
Analogy-Based (or Analogical) and Case-Based Reasoning (ABR and CBR) are two similar problem solving processes based on the adaptation of the solution of past problems for use with a new analogous problem  ...  In this paper we review these two processes and we give some real world examples with emphasis to the field of Medicine, where one can find some of the most common and useful CBR applications.  ...  CBR emphasizes PS and learning as two sides of the same process: PS uses the results of past learning episodes, while it provides the backbone of the experience from which learning advances.  ... 
arXiv:1405.7567v1 fatcat:nxnwn6mainbljoy3lcqeirunr4

Mindful Judgment and Decision Making

Elke U. Weber, Eric J. Johnson
2009 Annual Review of Psychology  
Complementing work on attention, information integration, and learning, decision research over the past 10 years has also examined the effects of goals, mental representation, and memory processes.  ...  Psychological process models provide natural predictions about individual differences and lifespan changes and integrate across judgment and decision making ( JDM) phenomena.  ...  ACKNOWLEDGMENTS Preparation of this review was facilitated by fellowships of both authors at the Russell Sage Foundation and by grants from the National Science Foundation (SES-0352062) and the National  ... 
doi:10.1146/annurev.psych.60.110707.163633 pmid:18798706 fatcat:ibkxomdnsrdq3lswnaidvtubsu

Two Sides of the Same Coin? An Investigation into Factors Influencing Employees' Intentions to Stay and Leave

Katrina Radford, Kate Shacklock, University, My
2018
However, that study was limited in the data collected by the national census of aged care employees and as such did not study the same variables as the present study.  ...  No study, however, has investigated the combined influence of personal factors (age, education status, marital status, tenure, perceived health of self and family, employment status, and area of employment  ...  In doing so, this study has found that for this sample, employees' intentions to stay and leave are not two sides of the same coin.  ... 
doi:10.25904/1912/2193 fatcat:cw46yaistfehfln7wii4bvrk7i

Legal Judgment Prediction (LJP) Amid the Advent of Autonomous AI Legal Reasoning [article]

Lance Eliot
2020 arXiv   pre-print
Legal Judgment Prediction (LJP) is a longstanding and open topic in the theory and practice-of-law.  ...  on how LJP is performed and its predictive accuracy.  ...  Eliot is globally recognized for his expertise in AI and is the author of highly ranked AI books and columns.  ... 
arXiv:2009.14620v1 fatcat:hlu6q2zsond77nqmemaumz33ri

Quantity judgment and the mass-count distinction across languages: Advances, problems, and future directions for research

Alan Bale, David Barner
2018 Glossa  
Second, we discuss the new landscape of cross-linguistic results that has been created by widespread use of the quantity judgment task, and what these results tell us about the nature of the mass-count  ...  First, we lay out what we see to be the scientific enterprise of studying the syntax and semantics of the mass-count distinction, and the assumptions we believe must be made if additional progress is to  ...  Acknowledgements Thank you to two anonymous reviewers and to Ashlie Pankonin for her comments on an earlier version of this manuscript.  ... 
doi:10.5334/gjgl.536 fatcat:ma7drsucwbalrodehk4jwenpke

A Multi-Task Architecture on Relevance-based Neural Query Translation

Sheikh Muhammad Sarwar, Hamed Bonab, James Allan
2019 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics  
The translation process for Cross-lingual Information Retrieval (CLIR) task is usually treated as a black box and it is performed as an independent step.  ...  We show using both quantitative and qualitative analysis that our model generates balanced and precise translations with the regularization effect it achieves from multi-task learning paradigm.  ...  Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect those of the sponsor.  ... 
doi:10.18653/v1/p19-1639 dblp:conf/acl/SarwarBA19 fatcat:w6evvujr7zbe3i3zn6bq67hqra

Pretrained Transformers for Text Ranking: BERT and Beyond [article]

Jimmy Lin, Rodrigo Nogueira, Andrew Yates
2021 arXiv   pre-print
We cover a wide range of modern techniques, grouped into two high-level categories: transformer models that perform reranking in multi-stage architectures and dense retrieval techniques that perform ranking  ...  There are two themes that pervade our survey: techniques for handling long documents, beyond typical sentence-by-sentence processing in NLP, and techniques for addressing the tradeoff between effectiveness  ...  Acknowledgements This research was supported in part by the Canada First Research Excellence Fund and the Natural Sciences and Engineering Research Council (NSERC) of Canada.  ... 
arXiv:2010.06467v3 fatcat:obla6reejzemvlqhvgvj77fgoy

The effect multiple query representations on information retrieval system performance

Nicholas J. Belkin, C. Cool, W. Bruce Croft, James P. Callan
1993 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '93  
engine, Results show that progressive combination of query formulations leads to progressively improving retrieval performance, Results were compared against the performance of INQUERY natural language  ...  The issue of recall as a performance measure in large databases was raised, since overlap between the searches conducted in this study, and the TREC-1 searches, was smaller than expected.  ...  . & CROFT, W .B. (1992) Information filtering and information retrieval: Two sides of the same coin?  ... 
doi:10.1145/160688.160760 dblp:conf/sigir/BelkinCCC93 fatcat:ghw3ahiaavd7loqayktbwpayzm