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Keynote I Cyber Security Meets Big Knowledge: Towards a Secure HACE Theorem

Bhavani Thuraisingham
<span title="">2020</span> <i title="IEEE"> 2020 IEEE International Conference on Knowledge Graph (ICKG) </i> &nbsp;
This presentation will discuss our approach towards achieving this goal. At the heart of security and privacy are the policies enforced on the systems and activities.  ...  Therefore, we first discuss a Policy-Aware Big Data Processing Framework based on the three tiers discussed in [1].  ...  for querying, maintaining, visualising and explaining knowledge graphs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icbk50248.2020.00009">doi:10.1109/icbk50248.2020.00009</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lmbz4qeyb5b6zdjbfwlm5ntjdq">fatcat:lmbz4qeyb5b6zdjbfwlm5ntjdq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200928111225/https://ieeexplore.ieee.org/ielx7/9186569/9194453/09194491.pdf?tp=&amp;arnumber=9194491&amp;isnumber=9194453&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b5/ab/b5ab2c5259671a1e1aad46319ef2d807cf56f59d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icbk50248.2020.00009"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Survey on Explainability in Machine Reading Comprehension [article]

Mokanarangan Thayaparan, Marco Valentino, André Freitas
<span title="2020-10-01">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We also present the evaluation methodologies to assess the performance of explainable systems.  ...  We present how the representation and inference challenges evolved and the steps which were taken to tackle these challenges.  ...  ., 2018) is one of the first multi-hop datasets introducing a leaderboard based on a quantitative evaluation of the explanations produced by the systems 1 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.00389v1">arXiv:2010.00389v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jzxjysnma5ee5auvplfxxfar2u">fatcat:jzxjysnma5ee5auvplfxxfar2u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201005211309/https://arxiv.org/pdf/2010.00389v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.00389v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A Review of Literature on Human Behaviour and Artificial Intelligence: Contributions Towards Knowledge Management

Elizabeth Real de Oliveira, Pedro Rodrigues
<span title="2021-10-01">2021</span> <i title="Academic Conferences International Ltd"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rvmxlgfomnbsfggpaf66clodda" style="color: black;">Electronic Journal of Knowledge Management</a> </i> &nbsp;
To achieve this goal, the authors performed a systematic literature review, as proposed by Tranfield, Denyer and Smart (2003), on selected databases and followed the PRISMA framework (Preferred Reporting  ...  The other key finds of the research relate to the evolution of the concept, from data-driven (hard) towards emotions-driven (soft) organisations.  ...  ., under the project «UIDB/04005/2020».  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.34190/ejkm.19.2.2459">doi:10.34190/ejkm.19.2.2459</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jgzribzyfvh2pdrx27rhzm2i24">fatcat:jgzribzyfvh2pdrx27rhzm2i24</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211106114759/https://www.academic-publishing.org/index.php/ejkm/article/download/2459/1993" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c9/d3/c9d3e07c1f49d6b9385ebd7263121a6bec3027ab.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.34190/ejkm.19.2.2459"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning [article]

Filippos Gouidis, Alexandros Vassiliades, Theodore Patkos, Antonis Argyros, Nick Bassiliades, Dimitris Plexousakis
<span title="2020-03-17">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
While Machine Learning has been traditionally applied to address related problems, recent works also seek ways to integrate knowledge engineering in order to expand the level of intelligence of the visual  ...  We review the latest achievements and identify prominent research directions.  ...  As argued in (Pearl 2018) , ML needs to go beyond the detection of associations, in order to exhibit explainability and counterfactual reasoning.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.11861v2">arXiv:1912.11861v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dhjvffblprbonn4xtssj3jzb6q">fatcat:dhjvffblprbonn4xtssj3jzb6q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200320204931/https://arxiv.org/pdf/1912.11861v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.11861v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

AI Assisted Clinical Diagnosis Treatment, and Development Strategy

Ming Kong, Qianfeng He, Lanjuan Li
<span title="">2018</span> <i title="Editorial Department of Engineering Sciences"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6srtesug2jezno4g7ttokofsku" style="color: black;">Chinese Journal of Engineering Science</a> </i> &nbsp;
Second, using medical knowledge to construct an intelligent diagnosis and treatment model with the capability to combine multimodal data analysis and structured knowledge reasoning is currently the focus  ...  This study also analyzes the current problems and challenges associated with these technologies.  ...  Information retrieval, knowledge reasoning, and knowledge discovery can be efficiently conducted with the help of a knowledge graph.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15302/j-sscae-2018.02.013">doi:10.15302/j-sscae-2018.02.013</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pyioima3s5c6zp4k63vaosxey4">fatcat:pyioima3s5c6zp4k63vaosxey4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200307015914/http://journal.hep.com.cn/sscae/EN/article/downloadArticleFile.do?attachType=PDF&amp;id=23124" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e7/84/e784eb75fad392c673a802d56423bc28f2e3a8ab.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15302/j-sscae-2018.02.013"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation [article]

Yikun Xian, Zuohui Fu, Qiaoying Huang, S. Muthukrishnan, Yongfeng Zhang
<span title="2020-07-26">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Recent work on recommender systems has considered external knowledge graphs as valuable sources of information, not only to produce better recommendations but also to provide explanations of why the recommended  ...  Moreover, direct reasoning over large-scale knowledge graph can be costly due to the huge search space of pathfinding.  ...  First, the explainable path L π ui is expected to be generated in an inprogress manner and is supposed to explicitly explain how the model makes decisions step by step over the knowledge graph towards  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.13207v1">arXiv:2007.13207v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/we2und23rvbghoprpjnzbgsxeu">fatcat:we2und23rvbghoprpjnzbgsxeu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200808101850/https://arxiv.org/pdf/2007.13207v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.13207v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence

Guy Barash, Mauricio Castillo-Effen, Niyati Chhaya, Peter Clark, Huáscar Espinoza, Eitan Farchi, Christopher Geib, Odd Erik Gundersen, Seán HÉigeartaigh, José Hernández-Orallo, Chiori Hori, Xiaowei Huang (+25 others)
<span title="2019-09-30">2019</span> <i title="Association for the Advancement of Artificial Intelligence (AAAI)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/27wksbinzzhjfow2wuy6m2iefm" style="color: black;">The AI Magazine</a> </i> &nbsp;
Intelligence Safety, Dialog System Technology Challenge, Engineering Dependable and Secure Machine Learning Systems, Games and Simulations for Artificial Intelligence, Health Intelligence, Knowledge Extraction  ...  This report contains brief summaries of the all the workshops that were held.  ...  To discuss these, the second Reasoning and Learning for Human-Machine Dialogues workshop built on the success of the first event at AAAI 2018 and was attended by more than 60 AI researchers from around  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aimag.v40i3.4981">doi:10.1609/aimag.v40i3.4981</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tigkbqqkbjd4rcqew4dtallcze">fatcat:tigkbqqkbjd4rcqew4dtallcze</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220423061355/https://ojs.aaai.org//index.php/aimagazine/article/download/4981/5144" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aimag.v40i3.4981"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge [article]

Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord
<span title="2018-03-14">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Together, these constitute the AI2 Reasoning Challenge (ARC), which requires far more powerful knowledge and reasoning than previous challenges such as SQuAD or SNLI.  ...  We test several baselines on the Challenge Set, including leading neural models from the SQuAD and SNLI tasks, and find that none are able to significantly outperform a random baseline, reflecting the  ...  top performer on SQuAD; and the decomposed graph entailment model, a top performer on SciTail (Khot et al., 2018) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1803.05457v1">arXiv:1803.05457v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/i3v7ecuzsnfszcfbw2ufkth55a">fatcat:i3v7ecuzsnfszcfbw2ufkth55a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200907115856/https://arxiv.org/pdf/1803.05457v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/88/bb/88bb0a28bb58d847183ec505dda89b63771bb495.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1803.05457v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Deep learning and explainable artificial intelligence techniques applied for detecting money laundering – a critical review

Dattatray V. Kute, Biswajeet Pradhan, Nagesh Shukla, Abdullah Alamri
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Schardl, Scalable Graph Learning for Anti-Money Laundering: A First Look. 2018. 23. Paula, E.L., et al.  ...  Though there are challenges in graph mining from large data processing point of view [104] , but this is one of the potential area where research should be continued. • Applying Explainable AI techniques  ...  His research focuses on the development of models that deal with making complex business processes efficient and effective; analytical models for systemlevel optimization and decision making; and data-driven  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3086230">doi:10.1109/access.2021.3086230</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/n4wwkfoiaff5rjpelnddtcruwu">fatcat:n4wwkfoiaff5rjpelnddtcruwu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210717224332/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09446887.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/41/9c/419ca20c70e8d6077c73d6f6b5fa855067f6b915.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3086230"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project [article]

Peter Clark, Oren Etzioni, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld (+2 others)
<span title="2021-02-02">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Even in 2016, the best AI system achieved merely 59.3% on an 8th Grade science exam challenge.  ...  This paper reports unprecedented success on the Grade 8 New York Regents Science Exam, where for the first time a system scores more than 90% on the exam's non-diagram, multiple choice (NDMC) questions  ...  Acknowledgements We gratefully acknowledge the late Paul Allen's inspiration, passion, and support for research on this grand challenge.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.01958v3">arXiv:1909.01958v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/utalq5o7zbatfiik2zt2mzbuzy">fatcat:utalq5o7zbatfiik2zt2mzbuzy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210204051650/https://arxiv.org/pdf/1909.01958v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f0/13/f013174fcf8bb58d5a664574a5ac218510d49348.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.01958v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities [article]

Waddah Saeed, Christian Omlin
<span title="2021-11-11">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In response to this need, Explainable AI (XAI) has been proposed to make AI more transparent and thus advance the adoption of AI in critical domains.  ...  Although there are several reviews of XAI topics in the literature that identified challenges and potential research directions in XAI, these challenges and research directions are scattered.  ...  To the best of our knowledge, this is the first meta-survey that explicitly organizes and reports on the challenges and potential research directions in XAI.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2111.06420v1">arXiv:2111.06420v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q2nnfrenyvg3lpmu4qrug2m2zq">fatcat:q2nnfrenyvg3lpmu4qrug2m2zq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211129220127/https://arxiv.org/pdf/2111.06420v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/92/25/92259fcde062eeb232214c75e849dc5d9094599c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2111.06420v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

The 2nd U.S. Semantic Technologies Symposium (US2TS 2019)

Anna Lisa Gentile, Tania Tudorache
<span title="2019-05-20">2019</span> <i title="IOS Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pcapks3huberdozbvfqowysuly" style="color: black;">Semantic Web Journal</a> </i> &nbsp;
This report describes the structure, program and the outcomes of the second edition of US2TS  ...  This report provides an overview of the 2nd edition of the U.S. Semantic Technologies Symposium (US2TS) series that took place between March 11-13, 2019 at Duke University, Durham, North Carolina.  ...  Acknowledgements We would like to thank the entire organization committee for making this symposium possible: Pascal Hitzler (General Chair), Hilmar Lapp (Local Chair), Marshall X Ma (Sponsorships), Amit  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/sw-190354">doi:10.3233/sw-190354</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3pv43yworzdcjihuraavqn7hey">fatcat:3pv43yworzdcjihuraavqn7hey</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200307043324/https://content.iospress.com/download/semantic-web/sw190354?id=semantic-web%2Fsw190354" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/53/27/5327a06b6ac88bec0e4add5b58c69009d8cbc6d5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/sw-190354"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

ExplanationLP: Abductive Reasoning for Explainable Science Question Answering [article]

Mokanarangan Thayaparan, Marco Valentino, André Freitas
<span title="2020-10-25">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We propose a novel approach for answering and explaining multiple-choice science questions by reasoning on grounding and abstract inference chains.  ...  We carry out our experiments on the WorldTree and ARC-Challenge corpus to empirically demonstrate the following conclusions: (1) Grounding-Abstract inference chains provides the semantic control to perform  ...  knowledge bases other than the one provided by the ARC-Challenge dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.13128v1">arXiv:2010.13128v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/owru6gapg5gt5aycvod4wwfpva">fatcat:owru6gapg5gt5aycvod4wwfpva</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201029153352/https://arxiv.org/pdf/2010.13128v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/19/62/1962249b7e6542c48181e71cee91edcc57716c5b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.13128v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Operationalising Human Security in the Contemporary Operating Environment

Stephen Anning, Toby Fenton, Julia Muraszkiewicz, Hayley Watson
<span title="2022-01-31">2022</span> <i title="Simon Fraser University Library"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xr46lngspnhavmn3qvkflqelxe" style="color: black;">The Journal of Intelligence Conflict and Warfare</a> </i> &nbsp;
Drawing on the research findings, we propose the idea of Population Intelligence (POPINT) as a new intelligence discipline to operationalise human security.  ...  Nonetheless, the concurrent increase in Open Data and AI does give rise to new opportunities to understand the various human security concerns.  ...  This simple example shows how machines generate common-sense knowledge by automated reasoning over knowledge graphs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21810/jicw.v4i3.3802">doi:10.21810/jicw.v4i3.3802</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rcwkmg5qtjholbfde3vvqp3dgy">fatcat:rcwkmg5qtjholbfde3vvqp3dgy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220210105301/https://journals.lib.sfu.ca/index.php/jicw/article/download/3802/3374" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/10/45/1045459f72bc6c8f00932c17eb25e94c6e6f71ed.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21810/jicw.v4i3.3802"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project

Peter Clark, Oren Etzioni, Tushar Khot, Daniel Khashabi, Bhavana Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam (+3 others)
<span title="2020-12-28">2020</span> <i title="Association for the Advancement of Artificial Intelligence (AAAI)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/27wksbinzzhjfow2wuy6m2iefm" style="color: black;">The AI Magazine</a> </i> &nbsp;
This article reports success on the Grade 8 New York Regents Science Exam, where for the first time a system scores more than 90 percent on the exam's nondiagram, multiple choice (NDMC) questions.  ...  Even as recently as 2016, the best AI system could achieve merely 59.3 percent on an 8th grade science exam.  ...  Acknowledgments We gratefully acknowledge the late Paul Allen's inspiration, passion, and support for research on this grand challenge.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aimag.v41i4.5304">doi:10.1609/aimag.v41i4.5304</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/utp4tsxpsrfdfezweedmsi46cu">fatcat:utp4tsxpsrfdfezweedmsi46cu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220302123343/https://ojs.aaai.org/index.php/aimagazine/article/download/5304/14933" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/35/7e/357e60796733c842713ed2f4620e682c67033104.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aimag.v41i4.5304"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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