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Customizing a Variant Annotation-Support Tool: an Inquiry into Probability Ranking Principles for TREC Precision Medicine

Emilie Pasche, Julien Gobeill, Luc Mottin, Anaïs Mottaz, Douglas Teodoro, Paul Van Rijen, Patrick Ruch
2017 Text Retrieval Conference  
First, we assumed that an abstract with a high frequency of drug names is more probably relevant to support our task.  ...  The TREC 2017 Precision Medicine Track aims at building systems providing meaningful precision medicine-related information to clinicians in the field of oncology.  ...  Acknowledgments The study reported in this paper has been partially supported by the Swiss National Fund for Scientific Research, SNF Grant [neXtPresso project, SNF #153437].  ... 
dblp:conf/trec/PascheGMMTRR17 fatcat:xojr2ulurndhpedels5wttdg5q

Artificial Intelligence and Law

ANTONIO A. MARTINO
1994 International Journal of Law and Information Technology  
This gives us an indication of precision for our results, for a given cutoff point.  ...  Discussion The data represented in Graph #1 agree with established statistical principles and support the common assumption that random sampling techniques create samples that make more precise estimates  ...  Also "sampling" is frequently mentioned in the literature, at conferences and in various forms of online content 3 as a key tool for validating results of collection, search, document review and other  ... 
doi:10.1093/ijlit/2.2.154 fatcat:ff7kwvvn3vcbblhlkf63oqntyu

Artificial Intelligence and the Law

Charlotte Walker-Osborn, Christopher Chan
2017 ITNOW  
This gives us an indication of precision for our results, for a given cutoff point.  ...  Discussion The data represented in Graph #1 agree with established statistical principles and support the common assumption that random sampling techniques create samples that make more precise estimates  ...  Also "sampling" is frequently mentioned in the literature, at conferences and in various forms of online content 3 as a key tool for validating results of collection, search, document review and other  ... 
doi:10.1093/itnow/bwx017 fatcat:62ezubai3fcwlpie35xjq3iyem

Abstracts for the 42nd Human Genetics Society of Australasia Annual Scientific Meeting Sydney, New South Wales August 4–7, 2018

2018 Twin Research and Human Genetics  
Harmonizing these data represents a tremendous opportunity to understand the distribution of genetic variants across human genes, and their impact on human phenotypes and disease risk.  ...  characterize human 'knockouts' across a range of populations.  ...  Background: Congenital hypothyroidism (CH) is a condition of inadequate production of thyroid hormones resulting from an absent or under-developed thyroid gland (dysgenesis) or defect in the synthesis  ... 
doi:10.1017/thg.2018.51 pmid:30284531 fatcat:2fzkr56iwndxfhcpcuuwtxymkm

Shallow features as indicators of English–German contrasts in lexical cohesion

Kerstin Kunz, Ekaterina Lapshinova-Koltunski, José Manuel Martínez Martínez, Katrin Menzel, Erich Steiner
2017 Languages in Contrast: International Journal for Contrastive Linguistics  
ranking and variation.  ...  This paper contrasts lexical cohesion between English and German spoken and written registers, reporting findings from a quantitative lexical analysis.  ...  References Acknowledgments: This work was supported in part by the Singapore Ministry of Education (Academic Research Fund Tier 2: MOE2013- Constituents and Dependency relations We choose a light annotation  ... 
doi:10.1075/lic.16005.kun fatcat:p7pa2crm6rgkrfmsdf7m5265ea

Algorithmic Fairness Datasets: the Story so Far [article]

Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
2022 arXiv   pre-print
Secondly, we document and summarize hundreds of available alternatives, annotating their domain and supported fairness tasks, along with additional properties of interest for fairness researchers.  ...  We discuss different approaches and levels of attention to these topics, making them tangible, and distill them into a set of best practices for the curation of novel resources.  ...  Acknowledgements The authors would like to thank the following researchers and dataset creators for the useful feedback on the data briefs: Alain Barrat, Luc Behaghel, Asia Biega, Marko Bohanec, Chris  ... 
arXiv:2202.01711v3 fatcat:kd546yklwjhvtkrbhtzgbzb2xm

Enhancing user search experience in digital libraries with rotated latent semantic indexing

Serhiy Polyakov
2015 Proceedings of the Association for Information Science and Technology  
The present study proposes a theoretical model and an evaluation framework which are based on the LSA theory of meaning and investigates rLSI in a DL environment.  ...  This study investigates a semi-automatic method for creation of topical labels representing the topical concepts in information objects.  ...  For example, TREC-6 concentrated on a new experimental design comparing an experimental system to a control system.  ... 
doi:10.1002/pra2.2015.1450520100145 dblp:conf/asist/Polyakov15 fatcat:4aehzkid4zggdjsssqm3nt6cvu

A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law

Trevor Bench-Capon, Michał Araszkiewicz, Kevin Ashley, Katie Atkinson, Floris Bex, Filipe Borges, Daniele Bourcier, Paul Bourgine, Jack G. Conrad, Enrico Francesconi, Thomas F. Gordon, Guido Governatori (+12 others)
2012 Artificial Intelligence and Law  
We provide a retrospective of 25 years of the International Conference on AI and Law, which was first held in 1987.  ...  Fifty papers have been selected from the thirteen conferences and each of them is described in a short subsection individually written by one of the 24 authors. These subsections attempt to place the  ...  analysis in a vertical domain like law in a practical way, for instance, tracking the opinions of law students or other customers of legal research tools.  ... 
doi:10.1007/s10506-012-9131-x fatcat:g4qgrfrwyjcphdghpqlgfarxdy

Reinforcement Learning in Healthcare: A Survey [article]

Chao Yu, Jiming Liu, Shamim Nemati
2020 arXiv   pre-print
Such distinctive features make RL technique a suitable candidate for developing powerful solutions in a variety of healthcare domains, where diagnosing decisions or treatment regimes are usually characterized  ...  As a subfield of machine learning, reinforcement learning (RL) aims at empowering one's capabilities in behavioural decision making by using interaction experience with the world and an evaluative feedback  ...  the commitments of precision medicine [309] .  ... 
arXiv:1908.08796v4 fatcat:iqqe3jifqvfntmxr6cakl4p2fy

Proceeding of the Australasian Language Technology Workshop 2006

Lawrence Cavedon, Ingrid Zukerman
the Australasian Language Technology Workshop (ALTW) 2006, held at the University of Sydney   unpublished
Our thanks also go to Rolf Schwitter, the local organizer, to members of the ALTA executive for their support in organizing the workshop, and to HCSNet for organizational infrastructure and travel support  ...  forum for the discussion of new and ongoing research and projects; • to provide an opportunity for the broader artificial intelligence community to become aware of local LT research; and, finally, • to  ...  Acknowledgments Thanks to John Coleman for supervision, Keola Donaghy for the electronic Hawaiian dictionary, Greg Kochanski for discussions on probability, and Lamakū for financial support.  ... 
fatcat:74kafjz7hnanhhqlybjlsxtgxm

OASIcs, Volume 74, SLATE'19, Complete Volume [article]

Ricardo Rodrigues, Jan Janoušek, Luís Ferreira, Luísa Coheur, Fernando Batista, Hugo Gonçalo Oliveira
2019
An evaluation of synonym extraction based on the selection of 100 random synsets gave a precision of 62% for intersections with two variants in both synsets and 76% for intersections with three variants  ...  The frequency of these variants will probably be equal in some time. An example of this case is shown in figure 2 .  ...  Graphs of changes in the frequency use of both variants were constructed for each of the pairs and for the sum of the variants of the whole group in order to demonstrate the We detected a decrease in the  ... 
doi:10.4230/oasics.slate.2019 fatcat:it3a3fn52bhrznke4mv6z7vrr4

Algorithmic Fairness Datasets: the Story so Far [article]

Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
2022
We discuss different approaches and levels of attention to these topics, making them tangible, and distill them into a set of best practices for the curation of novel datasets.  ...  Secondly, we document hundreds of available alternatives, annotating their domain and supported fairness tasks, to assist dataset users in task-oriented and domain-oriented search.  ...  Acknowledgements The authors would like to thank the following researchers and dataset creators for the useful feedback on the data briefs: Alain Barrat, Luc  ... 
doi:10.48550/arxiv.2202.01711 fatcat:mav36x3w5namjhurzpevtsmsju

Enhancing Privacy and Fairness in Search Systems [article]

Joanna Biega, Universität Des Saarlandes, Universität Des Saarlandes
2019
and the institute administration, for creating such an amazing working environment.  ...  Heartfelt thanks to the family Roth for making Germany and Switzerland feel a bit more like home. Thanks to my sister Ela for all the emotional support -during the good times and the bad times.  ...  Special thanks to Fabian Suchanek for being a fantastic mentor, for introducing me to the research world and later convincing me to do a PhD, and for being an inspiring example of how to reconcile professional  ... 
doi:10.22028/d291-27886 fatcat:u7nluah7mbfydberqyi67vsia4

Proceedings of the 2022 Joint Workshop of the German Research Training Groups in Computer Science

Felix Freiling, Helmut Seidl, 2022 2022 Joint Workshop Of The German Research Training Groups In Computer Science June 12–June 15
2022
Returning to Dagstuhl and hosting this meeting as an in-person-only event was a deliberate decision to revive interaction modes that many of the funded researchers had yet to experience: fostering personal  ...  Informatics, one of the world's premier venues for computer science-related seminars.  ...  Probabilistic ranking functions, a variant of ranking functions adapted for probabilistic programs based on the theory of ranking supermartingales 1 (RSM), present a natural way to obtain bounds on the  ... 
doi:10.25593/opus4-fau-19321 fatcat:ry4vd32xxbgldirrvymuaxxqwi

Plan Recognition (Dagstuhl Seminar 11141) Formal Methods in Molecular Biology

Robert Goldman, Christopher Geib, Henry Kautz, Tamim, Michael Breuß, Alfred Bruckstein, Petros, Rainer Breitling, Adelinde Uhrmacher, Frank Bruggeman, Corrado, Hamish Cunningham (+5 others)
2011 unpublished
In particular, no single parameter's variation is responsible for feedback loop intensity but a (linear? non-linear?) combination of them. -Challenges in Document Mining  ...  Conclusions: We have shown that both mRNA and protein degradation play a role in noise control and that, in general, there can be multiple control points in feedback loops.  ...  principle similar to the Probability Ranking Principle for document clustering?  ... 
fatcat:avtfcawkbvcmtjermu24aonau4
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