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Argumentative XAI: A Survey [article]

Kristijonas Čyras, Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni
2021 arXiv   pre-print
Explainable AI (XAI) has been investigated for decades and, together with AI itself, has witnessed unprecedented growth in recent years.  ...  We overview the literature focusing on different types of explanation (intrinsic and post-hoc), different models with which argumentation-based explanations are deployed, different forms of delivery, and  ...  Acknowledgements This research was funded in part by the Royal Academy of Engineering, UK, and by J.P. Morgan.  ... 
arXiv:2105.11266v1 fatcat:rnvydntysfa5tdzwzoj52gsac4

Traditional PageRank versus Network Capacity Bound [article]

Mieczysław A.Kłopotek, Sławomir T.Wierzchoḿ, Robert A. Kłopotek, Elżbieta A. Kłopotek
2017 arXiv   pre-print
In a former paper we simplified the proof of a theorem on personalized random walk that is fundamental to graph nodes clustering and generalized it to bipartite graphs for a specific case where the proobability  ...  So let us briefly explain the notion of semantic search engine and its impact on ranking method requirements. Semantics of information 10 expresses the meaning of this information.  ...  Traditional PageRank One of the many interpretations of PageRank views it as the probability that a knowledgeable (knowing addresses of all the web pages) but mindless (choosing next page to visit without  ... 
arXiv:1702.03734v1 fatcat:6fowakteljgv5ll7hjmofiqmlm

Google and the Mind

Thomas L. Griffiths, Mark Steyvers, Alana Firl
2007 Psychological Science  
We show that PageRank, computed on a semantic network constructed from wordassociation data, outperformed word frequency and the number of words for which a word is named as an associate as a predictor  ...  We explored whether they employ similar solutions, testing whether we could predict human performance on a fluency task using PageRank, a component of the Google search engine.  ...  RESULTS PageRank and associate frequency were calculated using a semantic network constructed from the word-association norms of Nelson, McEvoy, and Schreiber (1998) .  ... 
doi:10.1111/j.1467-9280.2007.02027.x pmid:18031414 fatcat:r3fu54ccofbejnxt6kc4x4t6mi

FELLA: an R package to enrich metabolomics data

Sergio Picart-Armada, Francesc Fernández-Albert, Maria Vinaixa, Oscar Yanes, Alexandre Perera-Lluna
2018 BMC Bioinformatics  
However, the interpretation of a prioritized pathway list is still challenging, as pathways show overlap and cross talk effects.  ...  The user can run the enrichment analysis through a simple interactive graphical interface or programmatically. FELLA is publicly available in Bioconductor under the GPL-3 license.  ...  Acknowledgements We would like to thank Haizea Ziarrusta and our collaboration with the Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), Leioa, for using, discussing and  ... 
doi:10.1186/s12859-018-2487-5 fatcat:3rgj26j4png2vfkig6evcckgci

How much information do software metrics contain?

Yossi Gil, Maayan Goldstein, Dany Moshkovich
2011 Proceedings of the 3rd ACM SIGPLAN workshop on Evaluation and usability of programming languages and tools - PLATEAU '11  
Software metrics computation and presentation are considered an important feature of many software design and development tools.  ...  , as measured by Chidamber and Kemerer's WMC metric.  ...  This is explained by the large number of frameworks and libraries in our dataset. However, it is even easier to get lost with all these numbers and with their meaning and interpretation.  ... 
doi:10.1145/2089155.2089169 dblp:conf/oopsla/GilGM11 fatcat:kngz54yv25cp3feclxkafxf36y

Topical interests and the mitigation of search engine bias

S. Fortunato, A. Flammini, F. Menczer, A. Vespignani
2006 Proceedings of the National Academy of Sciences of the United States of America  
We reconcile theoretical arguments with empirical evidence showing that the combination of retrieval by search engines and search behavior by users mitigates the attraction of popular pages, directing  ...  and already popular sites.  ...  We thank Junghoo Cho, the anonymous reviewers, and the members of the Networks and Agents Network at Indiana University for helpful feedback on early versions of the manuscript; Alexa, Yahoo, and Google  ... 
doi:10.1073/pnas.0605525103 pmid:16901979 pmcid:PMC1568910 fatcat:vmvssvffu5guzk43p2xueqxqgm

Scaling Datalog for Machine Learning on Big Data [article]

Yingyi Bu, Vinayak Borkar, Michael J. Carey, Joshua Rosen, Neoklis Polyzotis, Tyson Condie, Markus Weimer, Raghu Ramakrishnan
2012 arXiv   pre-print
task, and then compiled into an optimized physical plan.  ...  As a proof of concept, we consider two programming models--Pregel and Iterative Map-Reduce-Update---from the machine learning domain, and show how they can be captured in Datalog, tuned for a specific  ...  Rule G1 performs initialization of the global model at iteration 0 through function predicate init model, which takes no arguments and returns the initial model in the (M) variable.  ... 
arXiv:1203.0160v2 fatcat:tvhnfihhdvdglhd4f63vby3kaq

New versions of PageRank employing alternative Web document models

Mike Thelwall, Liwen Vaughan
2004 ASLIB Proceedings  
We introduce several new versions of PageRank (the link based Web page ranking algorithm), based upon an information science perspective on the concept of the Web document.  ...  directories and domains gives promising alternatives, particularly when Web links are the object of study.  ...  Bharat and Mihaila (2001) developed a new version of PageRank and demonstrate through user evaluations that its performance is comparable with the standard PageRank.  ... 
doi:10.1108/00012530410516840 fatcat:vzl2pqlimreufmrlprjkavizdi

Visualizing large knowledge graphs: A performance analysis

Juan Gómez-Romero, Miguel Molina-Solana, Axel Oehmichen, Yike Guo
2018 Future generations computer systems  
Currently, Semantic Web technologies are prevalent for modelling and querying knowledge graphs; however, most visualization approaches in this area tend to be overly simplified and targeted to small-sized  ...  To do so, we have implemented a graph processing pipeline in the Apache Spark framework and carried out several experiments with real-world and synthetic graphs.  ...  In this regard, Sowa's conceptual graphs bring together the interpretability of visual semantic networks and the formal underpinnings of first-order logic [26] .  ... 
doi:10.1016/j.future.2018.06.015 fatcat:722ah2osgrcqbhitja45wqfuei

Local approximation of PageRank and reverse PageRank

Ziv Bar-Yossef, Li-Tal Mashiach
2008 Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08  
measurement of semantic relatedness between concepts in a taxonomy.  ...  The difficulty emanates from nodes of high in-degree and/or from slow convergence of the PageRank random walk.  ...  Semantic relatedness is used in many applications in natural language processing, such as word sense disambiguation, information retrieval, interpretation of noun compounds, and spelling correction (cf  ... 
doi:10.1145/1390334.1390545 dblp:conf/sigir/Bar-YossefM08 fatcat:wumwgfa6ezghfpwc5vqqwdjkem

Local approximation of pagerank and reverse pagerank

Ziv Bar-Yossef, Li-Tal Mashiach
2008 Proceeding of the 17th ACM conference on Information and knowledge mining - CIKM '08  
measurement of semantic relatedness between concepts in a taxonomy.  ...  The difficulty emanates from nodes of high in-degree and/or from slow convergence of the PageRank random walk.  ...  Semantic relatedness is used in many applications in natural language processing, such as word sense disambiguation, information retrieval, interpretation of noun compounds, and spelling correction (cf  ... 
doi:10.1145/1458082.1458122 dblp:conf/cikm/Bar-YossefM08 fatcat:dzicfe53hzemdlo6m7qwvfzoyy

Towards open ontology learning and filtering

Amal Zouaq, Dragan Gasevic, Marek Hatala
2011 Information Systems  
This paper presents OntoCmaps, a domain independent and open ontology learning tool that extracts deep semantic representations from corpora.  ...  Our results show that using metrics such as Betweenness, PageRank, Hits and Degree centrality outperforms the results of standard text-based metrics (TF-IDF, Term Frequency) for concept identification.  ...  through a conjunction and.  ... 
doi:10.1016/ fatcat:fg3hjuhcsrbitgvaki7oe2feme

An Exploratory Study on Using Social Information Networks for Flexible Literature Access [chapter]

Lynda Tamine, Amjed Ben Jabeur, Wahiba Bahsoun
2009 Lecture Notes in Computer Science  
We experiment with a collection issued from SIGIR 1 proceedings and show that combining topical, author and citation based evidences can significantly improve retrieval access precision, measured in terms  ...  It is well known that the fundamental intellectual problems of information access are the production and consumption of information.  ...  This explains the good results given by the pagerank and hits measures too.  ... 
doi:10.1007/978-3-642-04957-6_8 fatcat:fbmp4qb34ffxthrhzbi2dgmj6e

Who should I cite

Steven Bethard, Dan Jurafsky
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
We introduce features like topical similarity and author behavioral patterns, and combine these with features from related work like citation count and recency of publication.  ...  Our model achieves a mean average precision of 28.7, a 12.8 point improvement over a term similarity baseline, and a significant improvement both over models using only features from related work and over  ...  The rest of this article explains our approach to citation retrieval. We first describe related work, and explain our formulation of the task.  ... 
doi:10.1145/1871437.1871517 dblp:conf/cikm/BethardJ10 fatcat:sigmfq4n6vchbf4gawylpr66mu

Improving Diversity of Focused Summaries through the Negative Endorsements of Redundant Facts

Palakorn Achananuparp, Xiaohua Hu, Lifan Guo, Tingting He, Yuan An, Zhoujun Li
2010 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
Acknowledgement This research work is supported in part from the NSF Career grant IIS 0448023, NSF CCF 0905291, NSF IIP 0934197, NSFC 09020005 "Chinese Language Semantic Knowledge Acquisition and Semantic  ...  Computational Model Study," and the Program of Introducing Talents of Discipline to Universities B07042 (China).  ...  The particular structure, known as verb-argument structure, describes the relationships between sentence constituents, i.e. verb and arguments, and their semantic roles.  ... 
doi:10.1109/wi-iat.2010.36 dblp:conf/webi/AchananuparpHGHAL10 fatcat:xuz6jqqhqrcxzpbticpnzxijxy
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