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Five Years of Argument Mining: a Data-driven Analysis

Elena Cabrio, Serena Villata
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
In this paper, we present the argument mining tasks, and we discuss the obtained results in the area from a data-driven perspective.  ...  Argument mining is the research area aiming at extracting natural language arguments and their relations from text, with the final goal of providing machine-processable structured data for computational  ...  For NLP tasks, the agreement is considered as significant when κ >0.6. 9 Data-driven Analysis This section provides an overview of the main recent contributions in the argument mining research area.  ... 
doi:10.24963/ijcai.2018/766 dblp:conf/ijcai/CabrioV18 fatcat:2ylmuqlndbcyfcu2izylcwcfgq

A data-driven analysis to question epidemic models for citation cascades on the blogosphere [article]

Abdelhamid Salah Brahim, Lionel Tabourier, Bénédicte Le Grand
2013 arXiv   pre-print
In this work, we question this point of view using both a structural and semantic analysis of five months activity of the most representative blogs of the french-speaking community.Statistical measures  ...  However, a closer analysis of the post content indicates that the popular epidemic-like descriptions of cascades are misleading in this context.A basic model, taking only into account the behavior of bloggers  ...  The data has been collected as part of the French National Agency of Research Webfluence project #ANR-08-SYSC-009.  ... 
arXiv:1306.0424v1 fatcat:2fnagfin3napnomnx5h7qcfwy4

An image-based data-driven analysis of cellular architecture in a developing tissue

Jonas Hartmann, Mie Wong, Elisa Gallo, Darren Gilmour
2020 eLife  
In doing so, we are able to retrieve both previously established and novel biologically relevant patterns, demonstrating the potential of our data-driven approach.  ...  We tackle this issue with a newly developed algorithm that uses point cloud-based morphometry to unpack the rich information encoded in 3D image data into a straightforward numerical representation.  ...  In recent years, data science has arisen as a new interdisciplinary paradigm that combines statistics, computer science and machine learning with the aim of generating knowledge in a data-driven rather  ... 
doi:10.7554/elife.55913 pmid:32501214 fatcat:ycgjvunoybbodkx5nkqg436fsu

A data-driven analysis of the current debate on the linkages between performance and strategy studies

Nicola G. Castellano, Katia Corsi, Monica Bartolini, Francesca Bernini, Andrea Cardoni, Graziano Coller, Vincenzo Fasone, Luca Fornaciari
2018 International Journal of Business Performance Management  
The results obtained by adopting quantitative methodologies (descriptive statistics and text-mining analysis) on a sample of articles recently published in the most influential international 'business,  ...  We also find evidence suggesting that the organisational perspective should be particularly considered when investigating the relations between strategy, management control systems and PMM. (2018) 'A data-driven  ...  A text mining approach to the literature review 1 To better explore RQ 2 and, in detail, the emerging network of scientific topics connected to the PMM and strategy field of studies, a text mining analysis  ... 
doi:10.1504/ijbpm.2018.088491 fatcat:4uabczrijrayxpszlekunnfmpi

Execution mining

Geoffrey Lefebvre, Brendan Cully, Christopher Head, Mark Spear, Norm Hutchinson, Mike Feeley, Andrew Warfield
2012 SIGPLAN notices  
This static representation of a system results in limited insight into execution dynamics, such as what code is important, how data flows through a system, or how threads interact with one another.  ...  We describe Tralfamadore, a system that preserves complete traces of machine execution as an artifact that can be queried and analyzed with a library of simple, reusable operators, making it easy to develop  ...  pieces to perform trace collection, parsing, instruction analysis, as well as source-level interactions through DWARF and symbol files involved a lot more effort than we imagined at the beginning of the  ... 
doi:10.1145/2365864.2151044 fatcat:althgne7wnhnrh5mkbwfddtb64

Execution mining

Geoffrey Lefebvre, Brendan Cully, Christopher Head, Mark Spear, Norm Hutchinson, Mike Feeley, Andrew Warfield
2012 Proceedings of the 8th ACM SIGPLAN/SIGOPS conference on Virtual Execution Environments - VEE '12  
This static representation of a system results in limited insight into execution dynamics, such as what code is important, how data flows through a system, or how threads interact with one another.  ...  We describe Tralfamadore, a system that preserves complete traces of machine execution as an artifact that can be queried and analyzed with a library of simple, reusable operators, making it easy to develop  ...  pieces to perform trace collection, parsing, instruction analysis, as well as source-level interactions through DWARF and symbol files involved a lot more effort than we imagined at the beginning of the  ... 
doi:10.1145/2151024.2151044 dblp:conf/vee/LefebvreCHSHFW12 fatcat:6orsqc7ty5fbrknxveob5ndrzm

The disconnect between classical biostatistics and the biological data mining community

James D Malley, Jason H Moore
2013 BioData Mining  
Intensive further work has shown how practical these deep results can be, in for example, in easily and optimally setting up a Random Forest analysis on a data set of any size in any sense, a thousand  ...  Statistics departments and journals still strongly emphasize a very narrow range of topics and methods and techniques, all driven by a tiny handful of results, many dating from the 1930s.  ...  Acknowledgement This research was supported in part by the Intramural Research Program of the Center for Information Technology, National Institutes of Health (NIH).  ... 
doi:10.1186/1756-0381-6-12 pmid:23880104 pmcid:PMC3726458 fatcat:s7wu3qaufvhg5e5ljsrqc6msnm

Argument Mining: A Survey

John Lawrence, Chris Reed
2019 Computational Linguistics  
This paper explores the techniques that establish the foundations for argument mining, provides a review of recent advances in argument mining techniques, and discusses the challenges faced in automatically  ...  Argument Mining is the automatic identification and extraction of the structure of inference and reasoning expressed as arguments presented in natural language.  ...  Argument mining remains profoundly challenging, and traditional methods on their own seem to need to be complemented by stronger, knowledge-driven analysis and processing.  ... 
doi:10.1162/coli_a_00364 fatcat:vpnimzg47vdrlaexcqngdat2n4

Game Data Mining [chapter]

Anders Drachen, Christian Thurau, Julian Togelius, Georgios N. Yannakakis, Christian Bauckhage
2013 Game Analytics  
Getting the right data requires as much thought as their analysis. 2.4 Separating gold from rock in data mining results When running a game data mining analysis, for example a classification analysis  ...  In the past few years metrics-driven development has almost become standard in online games development and -management.  ...  He works with developing game telemetry systems and the application of advanced data mining methods in games contexts, for example player modeling, behavior cloning and data analysis in the massive dataset  ... 
doi:10.1007/978-1-4471-4769-5_12 fatcat:fz5zlhjhprbn7ctdcde7rkgpui

Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications [chapter]

Stefan Holland, Martin Ester, Werner Kießling
2003 Lecture Notes in Computer Science  
The main advantage of our approach is the semantic expressiveness of the Preference Mining results. Experimental evaluations prove the effectiveness and efficiency of our algorithms.  ...  In this paper we present novel Preference Mining techniques for detecting strict partial order preferences in user log data.  ...  Case Study We also performed an analysis of the Preference Mining algorithms on the log data of the COSIMA application [8] .  ... 
doi:10.1007/978-3-540-39804-2_20 fatcat:ge4oobk2y5fqnfxwja3wibh2ly

Electric Mining Plant

1895 Scientific American  
spectrum analysis.  ...  clip pulley through double helical gears driven ELECTRIC GEAR DRlVEN CONTINUOUS ROPE HAULING ENGINE. ELECTRICAL GEAR DRIVEN THREE THROW MINING PUMP. ELEC'l'RICAL GEAR DRIVEN WINDING ENGINE .  ... 
doi:10.1038/scientificamerican08171895-16370bsupp fatcat:dxfh5q37lbehdk26agyz3odgbm

Opinion Mining [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
Synonyms Instance language Definition The observation language used by a machine learning system is the language in which the observations it learns from are described.  ...  Background: The analysis of opinionated data is investigated in the research areas of sentiment analysis and opinion mining.  ...  Opinion Extraction Sentiment Analysis and Opinion Mining Opinion Mining Sentiment Analysis and Opinion Mining Opinion Stream Mining namely the nonstationary data distribution and the single pass  ... 
doi:10.1007/978-1-4899-7687-1_100511 fatcat:oluapsjgxzh6nlkqujjj562lzi

Text Mining Islamic Law

Christian Lange, Maksim Abdul Latief, Yusuf Çelik, A. Melle Lyklema, Dafne E. van Kuppevelt, Janneke van der Zwaan
2021 Islamic Law and Society  
Digital humanities has a venerable pedigree, stretching back to the middle of the twentieth century, but despite noteworthy pioneering contributions it has not become a mainstream practice in Islamic Studies  ...  We analyze a representative corpus of works of Islamic substantive law (furūʿ al-fiqh) from the beginnings of Islamic legal jurisprudence to the early modern period (2nd/8th-13th/19th c.) using several  ...  We would also like to thank the two anonymous reviewers for their thorough critique of the original version of this article, as well as all colleagues who generously provided advice and resources along  ... 
doi:10.1163/15685195-bja10009 fatcat:ylcwigwjrzhm5gneqq7etzgfre

Automatic argumentative analysis for interaction mining

Vincenzo Pallotta, Rodolfo Delmonte
2011 Argument & Computation  
We present in this article a computational model of natural arguments and its implementation for the automatic argumentative analysis of digital conversations, which allows us to produce relevant information  ...  to build interaction business analytics applications overcoming the limitations of standard text mining and information retrieval technology.  ...  Effectiveness of argumentative models for interaction mining To better understand the impact of argumentative analysis in interaction mining, in this section, we will provide a real example of how argumentative  ... 
doi:10.1080/19462166.2011.608225 fatcat:v5zypycdczh5li7r62mxlzhhoy

EDUCATIONAL DATA MINING [chapter]

Ryan S. Baker, Yuan Wang, Luc Paquette, Vincent Aleven, Octav Popescu, Jonathan Sewall, Carolyn Rosé, Gaurav Singh Tomar, Oliver Ferschke, Jing Zhang, Michael J. Cennamo, Stephanie Ogden (+9 others)
2016 Data Mining and Learning Analytics  
appropriate for the specific features of educational data, and how these techniques can be used on a wide scale.  ...  Data mining encompasses a wide range of research techniques that includes more traditional options such as database queries and simple automatic logging as well as more recent developments in machine learning  ...  Acknowledgements This research was made possible by a large number of people listed at www.ASSISTment.org.  ... 
doi:10.1002/9781118998205.ch4 fatcat:nohjhjvnm5cfrlbtigchnv6brq
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