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From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment [article]

Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan
2021 arXiv   pre-print
Based on this finding, we propose a frustratingly Simple but Effective Unsupervised entity alignment method (SEU) without neural networks.  ...  Cross-lingual entity alignment (EA) aims to find the equivalent entities between crosslingual KGs, which is a crucial step for integrating KGs.  ...  Based on this finding, we propose a frustratingly Simple but Effective Unsupervised entity alignment method (SEU). • Extensive experiments on public datasets indicate that our unsupervised method outperforms  ... 
arXiv:2109.02363v2 fatcat:bgwwgjob3zf2fmtjbdbr5g67ty

From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment

Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan
2021 Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing   unpublished
Based on this re-definition, we propose a frustratingly Simple but Effective Unsupervised entity alignment method (SEU) without neural networks.  ...  Cross-lingual entity alignment (EA) aims to find the equivalent entities between crosslingual KGs (Knowledge Graphs), which is a crucial step for integrating KGs.  ...  Based on this finding, we propose a frustratingly Simple but Effective Unsupervised entity alignment method (SEU). • Extensive experiments on public datasets indicate that our unsupervised method outperforms  ... 
doi:10.18653/v1/2021.emnlp-main.226 fatcat:imewqf7pd5c55ly677zlm54geq

Intelligent Music Composition [chapter]

Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis
2013 Swarm Intelligence and Bio-Inspired Computation  
Collision avoidance: Move away from the agents that are too close to you. 3. Schooling: Move toward aligning your velocity to the mean velocity of the agents you perceive.  ...  The evolution of the GL CA abounds in dynamical phenomena, ranging from stable to oscillating and chaotic patterns, which derive from the simple application of the following rules: 1.  ... 
doi:10.1016/b978-0-12-405163-8.00010-7 fatcat:y7hhhquuavaopox44ly2fp4gfa

Argument Linking: A Survey and Forecast [article]

William Gantt
2021 arXiv   pre-print
This more general task, known as implicit semantic role labeling or argument linking, has received increased attention in recent years, as researchers have recognized its centrality to information extraction  ...  But unlike Laparra and Rigau, they propose to do so in an unsupervised manner.  ...  event, but that each assign that argument a different (incorrect) role.  ... 
arXiv:2107.08523v1 fatcat:hapm2rx3xjb6tdksl3x7ghsxwi

Matching Startup Founders to Investors: a Tool and a Study [article]

Yasyf Mohamedali
2018 arXiv   pre-print
We begin with a tool (VCWiz), created from the current set of best-practices to help inexperienced founders navigate the founder-investor matching process.  ...  The goal of this tool is to increase efficiency and equitability, while collecting data to inform further studies.  ...  For the baseline, we assign scores by simply scaling the rank to be in this range.  ... 
arXiv:1806.03241v1 fatcat:4rbzw4nrrbcwdaew3urmmrcfym

Challenges to the deployment of autonomous weapons

Paddy Walker, Lloyd Clark
2019 Zenodo  
There are several drivers to a move from merely automatic weapons to fully autonomous weapons which are able to engage a target based solely upon algorithm-based decision-making.  ...  Autonomous Weapon Systems (AWS) are defined as robotic weapons that have the ability to sense and act unilaterally depending on how they are programmed.  ...  , cleansed, checked and then prioritised before being distributed from a single source to all partnering entities.  ... 
doi:10.5281/zenodo.3689445 fatcat:suxmfofsozfeheeyjm4bo237j4

The Civic Mission of MOOCs: Engagement across Political Differences in Online Forums

Michael Yeomans, Brandon M. Stewart, Kimia Mavon, Alex Kindel, Dustin Tingley, Justin Reich
2017 International Journal of Artificial Intelligence in Education  
Research that focuses on the civic mission of MOOCs helps ensure that open online learning engages the same breadth of purposes that higher education aspires to serve.  ...  Massive open online courses (MOOCs) attract diverse student bodies, and course forums could potentially be an opportunity for students with different political beliefs to engage with one another.  ...  We also thank the course teams from Saving Schools and American Government, the Harvard VPAL-Research Group for research support, Lisa McKay for edits, and research assistance from Alyssa Napier, Joseph  ... 
doi:10.1007/s40593-017-0161-0 pmid:30906239 pmcid:PMC6424502 fatcat:tdrgbrfwh5gwpfwu5dsgogqcpm

Artificial intelligence and molecular biology

1994 ChoiceReviews  
The author is also grateful to Dr. Ross Overbeek and his student Ron Taylor, and to Drs. Mick Acknowledgements The author would like to thank Dr.  ...  The KEE Software was provided under the University Grant Program from IntelliCorp, Inc.  ...  of simple inverted repeats do lead to a promotion from CFLs to ILs.  ... 
doi:10.5860/choice.31-3826 fatcat:5jmryy7mkbcrvifz6ahlbbdceu

State of AI Ethics Report (Volume 6, February 2022) [article]

Abhishek Gupta
2022 arXiv   pre-print
The report is a comprehensive overview of what the key issues in the field of AI ethics were in 2021, what trends are emergent, what gaps exist, and a peek into what to expect from the field of AI ethics  ...  Given MAIEI's mission to democratize AI, submissions from external collaborators have featured, such as pieces on the "Challenges of AI Development in Vietnam: Funding, Talent and Ethics" and using "Representation  ...  This can prevent further harm to nonhuman entities already under immense pressure from human activities.  ... 
arXiv:2202.07435v1 fatcat:wbalu3j3ynelfim7eqvxcpwu3q

Transferability in Deep Learning: A Survey [article]

Junguang Jiang, Yang Shu, Jianmin Wang, Mingsheng Long
2022
The success of deep learning algorithms generally depends on large-scale data, while humans appear to have inherent ability of knowledge transfer, by recognizing and applying relevant knowledge from previous  ...  We present this survey to connect different isolated areas in deep learning with their relation to transferability, and to provide a unified and complete view to investigating transferability through the  ...  MCC further minimizes the instance-weighted confusion between different classes, which is simple yet frustratingly effective.  ... 
doi:10.48550/arxiv.2201.05867 fatcat:na2xdva36jbhhexspjdngnlxbe

Emotionally Informed Hate Speech Detection: A Multi-target Perspective

Patricia Chiril, Endang Wahyu Pamungkas, Farah Benamara, Véronique Moriceau, Viviana Patti
2021 Cognitive Computation  
In this paper, we propose to tackle, for the first time, hate speech detection from a multi-target perspective.  ...  Our contribution is threefold: (1) we explore the ability of hate speech detection models to capture common properties from topic-generic datasets and transfer this knowledge to recognize specific manifestations  ...  This work also explored the use of the frustratingly simple domain adaptation (FEDA) framework [24] to facilitate domain sharing between different datasets.  ... 
doi:10.1007/s12559-021-09862-5 pmid:34221180 pmcid:PMC8236572 fatcat:742czn3qvnep5gt6hkaoccz75m

Explaining Deep Neural Networks [article]

Oana-Maria Camburu
2021 arXiv   pre-print
However, the decision-making processes of these models are generally not interpretable to users.  ...  In various domains, such as healthcare, finance, or law, it is critical to know the reasons behind a decision made by an artificial intelligence system.  ...  First, BiLSTM-Max-ExplPred-Seq2Seq is a simple sequence-to-sequence model.  ... 
arXiv:2010.01496v2 fatcat:knihfgpgr5efvc4nnqcbrmseue

Salience Estimation and Faithful Generation: Modeling Methods for Text Summarization and Generation

Christopher Kedzie
2021
We then consider a more difficult problem of estimating salience in a large document stream, and propose two alternative approaches using classical machine learning techniques from both unsupervised clustering  ...  Overall, we find that when simple, position based heuristics are available, as in single document news or research summarization, deep learning models of salience often exploit them to make predictions  ...  on a particular set of entities.  ... 
doi:10.7916/d8-61n8-mg23 fatcat:sztaye4ftvhubjibjd3ty5dqy4

American Association of Neuropathologists, Inc. Abstracts of the 87thAnnual Meeting June 23–26, 2011 Seattle, WA

2011 Journal of Neuropathology and Experimental Neurology  
From these groups, we examined cortical and hippocampal  ...  We examined a large group of autopsy-confirmed HS-Aging cases to determine characteristic clinical and pathologic findings, including TDP-43 immunohistochemistry and vascular pathology.  ...  Tumor patterns include simple, complex and glioma-like variants.  ... 
doi:10.1097/nen.0b013e3182227917 fatcat:gtigoq4ag5d7joowcbdsnysmda

Consciousness in Neural Networks?

Edmund T Rolls
1997 Neural Networks  
There is also support from episodic memories encoded in the store denoted E in the figure. FIGURE 4.  ...  The assessment of experiments possible to probe the emergence of perception is then surveyed in terms of these criteria, and those which appear to be most effective are delineated.  ...  Requests for reprints should be sent to Professor E.  ... 
doi:10.1016/s0893-6080(97)00049-x pmid:12662513 fatcat:q3rt2km7snbmlcbpkw6lfac3gq
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