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NLP in Human Rights Research – Extracting Knowledge Graphs About Police and Army Units and Their Commanders [article]

Daniel Bauer
2022 arXiv   pre-print
SFM creates data about the organizational structure, command personnel and operations of police, army and other security forces, which assists human rights researchers, journalists and litigators in their  ...  This working paper presents an NLP system that extracts from English language news reports the names of security force units and the biographical details of their personnel, and infers the formal relationship  ...  in their technical development; and, implementations that infringe human rights directly.  ... 
arXiv:2201.05230v1 fatcat:tcaexqvzlrfihf7oxlmpsdutxe

A social media and crowdsourcing data mining system for crime prevention during and post-crisis situations

Konstantinos Domdouzis, Babak Akhgar, Simon Andrews, Helen Gibson, Laurence Hirsch
2016 Journal of Systems and Information Technology  
This paper aims to present an automated system for the synchronization of the police and Law Enforcement Agencies (LEAs) for the prevention of criminal activities during and post a large crisis situation  ...  Furthermore, after large disasters, societies come face-to-face with important issues, such as the loss of human lives, people who are missing and the increment of the criminality rate.  ...  We acknowledge and thank Epidemico for their excellent work on the mobile application and Dr Laurence Hirsch for his work on the ATHENA CCCID Crisis Map.  ... 
doi:10.1108/jsit-06-2016-0039 fatcat:rxyivb3dwfavlownk2xdjspumy

Complex event processing for content-based text, image, and video retrieval

Elizabeth K Bowman, Barbara D Broome, V Melissa Holland, Douglas Summers-Stay, Raghuveer M Rao, John Duselis, Jonathan Howe, Bhopinder K Madahar, Anne-Claire Boury-Brisset, Bruce Forrester, Peter Kwantes, Gertjan Burghouts (+2 others)
2016 2016 International Conference on Military Communications and Information Systems (ICMCIS)  
maintaining the data needed, and completing and reviewing the collection information.  ...  PAGE Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and  ...  Acknowledgments The authors are grateful to all members of the exploratory team and for the support provided by the defense and security research programs in each of their organizations, including the  ... 
doi:10.1109/icmcis.2016.7496546 fatcat:g4omhjgggfb6zdlskc2564jgam

Deconstructing Legal Text_Object Oriented Design in Legal Adjudication [article]

Megan Ma, Dmitriy Podkopaev, Avalon Campbell-Cousins, Adam Nicholas
2020 arXiv   pre-print
The project extends beyond prior research in the area, combining a broadly statistical model of context with the relative precision of syntactic structure.  ...  Definitions are then extracted in accordance with the interpretations of the judges. The intent is to build an expert system predicated on alleged rules of legal reasoning.  ...  The knowledge graph is asked a question and returns a response that follows the reasoning of human observers.  ... 
arXiv:2009.06054v1 fatcat:h45cmonyb5favavzt477iht42u

Front Matter: Volume 8050

Proceedings of SPIE, Ivan Kadar
2011 Signal Processing, Sensor Fusion, and Target Recognition XX  
The papers published in these proceedings reflect the work and thoughts of the authors and are published herein as submitted.  ...  The papers included in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee.  ...  ACKNOWLEDGEMENTS We gratefully acknowledge that this research activity has been supported in part by a  ... 
doi:10.1117/12.899094 fatcat:mn5fo3c7ijfadnlmjcjcclpal4

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  
After an overview of research aims and motivations we formulate hypotheses on distributions of shallow features as indicators of lexical cohesion across languages and modes and with respect to register  ...  The shallow features analysed are: highly frequent words in texts, lexical density, standardized type-token-ratio, top-frequent content words of the language within individual registers and texts, and  ...  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

A 20-Year Community Roadmap for Artificial Intelligence Research in the US [article]

Yolanda Gil, Bart Selman
2019 arXiv   pre-print
Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in  ...  meaningful communication, and improving their awareness through experience.  ...  Immense resources are being invested in Google's Knowledge Graph, Microsoft's Satori knowledge graph, Amazon's Product Graph, Facebook's Social Graph, and IBM Watson's Knowledge Graph.  ... 
arXiv:1908.02624v1 fatcat:jza6i2tzufgeracsou77qukbu4

Summary-Oriented Question Generation for Informational Queries [article]

Xusen Yin, Li Zhou, Kevin Small, Jonathan May
2021 arXiv   pre-print
confirmation via a human evaluation.  ...  We aim to produce self-explanatory questions that focus on main document topics and are answerable with variable length passages as appropriate.  ...  The latter seeks to guide users in their research of a particular subject by producing engaging and understandable questions.  ... 
arXiv:2010.09692v2 fatcat:2fapb3hnzvf4djwj26gildsn3i

Open challenges for data stream mining research

Georg Krempl, Myra Spiliopoulou, Jerzy Stefanowski, Indre Žliobaite, Dariusz Brzeziński, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi
2014 SIGKDD Explorations  
At the core, the system is a hybrid human-machine database engine where the machine interacts with the SMEs as part of a feedback loop to gather, infer, ascertain and enhance the database knowledge and  ...  It is reported to have 166.4 millions of users and 73.4 billions of posts by January 2014. While many articles about Tumblr have been published in major press, there is not much scholar work so far.  ...  Acknowledgments We would like to thank the participants of the RealStream2013 workshop at ECMLPKDD2013 in Prague, and in particular Bernhard Pfahringer and George Forman, for suggestions and discussions  ... 
doi:10.1145/2674026.2674028 fatcat:y3bozzeohveibgxb5wmiwfcogm

Detecting and Extracting Events from Text Documents [article]

Jugal Kalita
2016 arXiv   pre-print
We also discuss applications of event detection and extraction systems, particularly in summarization, in the medical domain and in the context of Twitter posts.  ...  In particular, we look at how textual documents can be mined to extract events and ancillary information. These days, it is mostly through the application of various machine learning techniques.  ...  Lee's Con-· ... federate Army of Northern Virginia and the Union Army of the Potomac, commanded by Maj. Gen. Ambrose E. Burnside.  ... 
arXiv:1601.04012v1 fatcat:74wtgbf2qbd6lfj34jb6heh6ei

A Framework for Evaluation of Machine Reading Comprehension Gold Standards [article]

Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro
2020 arXiv   pre-print
As a first step towards alleviating the problem, this paper proposes a unifying framework to systematically investigate the present linguistic features, required reasoning and background knowledge and  ...  While neural MRC systems gain popularity and achieve noticeable performance, issues are being raised with the methodology used to establish their performance, particularly concerning the data design of  ...  Related Work Although not as prominent as the research on novel architecture, there has been steady progress in critically investigating the data and evaluation aspects of NLP and machine learning in general  ... 
arXiv:2003.04642v1 fatcat:eawg5thypbdx3ktgaetfqxqaja

CSITSS Proceedings 2020

2019 2019 4th International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS)  
[14] in their research work conducted analytics on Social Media (Instagram) content to understand education branding of the United States.  ...  Natural Language Processing (NLP) NLP is concerned with helping the computers in interpreting, understanding, manipulating, and analyzing a large amount of natural human languages.  ...  Abstract-As Internet technology has become a part of the lifestyle of the common man, research efforts are extensively made in the fields of Natural Language Processing (NLP) and Information Retrieval.  ... 
doi:10.1109/csitss47250.2019.9031039 fatcat:yehi3bfgbva7xm74vp3a3i54pu

Jeffrey Edmonds/Samuel Bendett/Anya Fink/Mary Chesnut/Dmitry Gorenburg/Michael Kofman/Kasey Stricklin/Julian Waller: Artificial Intelligence and Autonomy in Russia. Arlington, VA: Center for Naval Analyses (CNA), Mai 2021

Artiom Hildebrandt
2021 SIRIUS - Zeitschrift für Strategische Analysen  
This report is part of an effort by CNA to provide timely, accurate, and relevant information and analysis of the field of AI in Russia, and follows a series of more than twenty biweekly newsletters on  ...  This report provides a comprehensive overview of the current state of civilian and military artificial intelligence in Russia, examining all relevant sectors, key institutions, and trends.  ...  MOD-driven and -directed effort; their uncertainty about it or their unwillingness to become part of the domestic military research and development effort may prevent them from doing so.  ... 
doi:10.1515/sirius-2021-4014 fatcat:kebmdg2gmfellh37sljf26sqcm

IMPACT OF COVID-19 ON HUMAN RIGHT TO ACCESS CLEAN & SAFE DRINKING WATER IN INDIA

SARVESH KUMAR SHAHI, Dr. Moin Athar
2021 Zenodo  
Further, it highlights the legal issues have been brought before the court in relation to violation of human and fundamental right to life and health with special reference to accessibility of clean drinking  ...  In general, the present paper discusses the impact of this disease on human rights to access to clean water during lockdown situation.  ...  The reach of e-bikes is more in urban areas, but most people don't have that much knowledge about e-bikes and their benefits.  ... 
doi:10.5281/zenodo.5655766 fatcat:aumozm5juff5fcogqddsuhpfxi

Regulatory Analytics and Data Architecture (RADAR)

Kingsley Jones
2015 Social Science Research Network  
In the development of this conception, it is natural to adopt the emerging idea of a Social Machine, as a metaphor for the large-scale interaction of humans and machines via web connections.  ...  Rapid developments in cloud computing and data science have significantly reduced the cost and expanded the scope of possible analytics in the practise of financial regulation.  ...  This research was supported by the Centre for International Finance and Regulation Project Number T-019: Regulatory Data Architecture and Analytics, which is a Centre of Excellence for research and education  ... 
doi:10.2139/ssrn.2628939 fatcat:picudx6dnnd2niaamjqmftgwaq
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