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unpublished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