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Relevance Detection and Argumentation Mining in Medical Domain

Vijayasaradhi Indurthi, Subba Reddy Oota
2016 Forum for Information Retrieval Evaluation  
In this paper we describe a method to determine the relevancy of a query with a sentence in the document in the field of medical domain.  ...  CODE All the code is available at for research and academic purpose.  ...  Sentence 1: "Many medical experts recommend daily aspirin therapy for preventing heart attacks in people of age fifty and above."  ... 
dblp:conf/fire/IndurthiO16 fatcat:jyyq5osvzzbwfnauscf5la4c6a

Argumentation technology

Philipp Cimiano, Matthias Hagen, Benno Stein
2021 it - Information Technology  
Christian Nawroth, Felix Engel, and Matthias Hemmje focus on argumentation in the medical domain.  ...  In their paper "Argument Mining on Twitter: A Survey," they review the structural modeling and detection of argumentative components and relations in tweets as well as stance detection.  ...  and mining (e. g., simulation and sensor data).  ... 
doi:10.1515/itit-2021-0016 fatcat:6wlcojclrfcsfawxerz7sbrgty

Evidence Type Classification in Randomized Controlled Trials

Tobias Mayer, Elena Cabrio, Serena Villata
2018 Proceedings of the 5th Workshop on Argument Mining  
Given the peculiarity of the medical domain and the required level of detail, standard approaches to argument component detection in argument(ation) mining are not finegrained enough to support such activities  ...  Randomized Controlled Trials (RCT) are a common type of experimental studies in the medical domain for evidence-based decision making.  ...  To the best of our knowledge, this is the first approach in AM targeting evidence type classification in the medical domain.  ... 
doi:10.18653/v1/w18-5204 dblp:conf/argmining/0002CV18 fatcat:6jpnyskixrgqddifpngrlpr53a

Common Round: Application of Language Technologies to Large-Scale Web Debates

Hans Uszkoreit, Aleksandra Gabryszak, Leonhard Hennig, Jörg Steffen, Renlong Ai, Stephan Busemann, Jon Dehdari, Josef van Genabith, Georg Heigold, Nils Rethmeier, Raphael Rubino, Sven Schmeier (+3 others)
2017 Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics  
In particular, Common Round applies language technologies for the extraction of semantic essence from textual input, aggregation of the formulated opinions and arguments.  ...  Web debates play an important role in enabling broad participation of constituencies in social, political and economic decision-taking.  ...  of Economics and Energy (BMWi) through the projects SDW (01MD15010A) and SD4M (01MD15007B), and by the European Union's Horizon 2020 research and innovation programme through the project QT21 (645452)  ... 
doi:10.18653/v1/e17-3002 dblp:conf/eacl/UszkoreitGHSABD17 fatcat:6oshbbxp75fnvewtjgkzhogdbi

Relation Mining over a Corpus of Scientific Literature [chapter]

Fabio Rinaldi, Gerold Schneider, Kaarel Kaljurand, Michael Hess, Christos Andronis, Andreas Persidis, Ourania Konstanti
2005 Lecture Notes in Computer Science  
This paper presents and evaluates an approach aimed at automating the process of extracting semantic relations (e.g. interactions between genes and proteins) from scientific literature in the domain of  ...  This growth makes it very difficult to filter the most relevant results, and the extraction of the core information, for inclusion in one of the knowledge resources being maintained by the research community  ...  We asked the domain experts to evaluate each argument separately and mark it according to the following codes: Y the argument is correct and informative N the argument is completely wrong Pr the argument  ... 
doi:10.1007/11527770_70 fatcat:bwmczbjm2jg2pabj3tvngami74

Biomedical text mining for research rigor and integrity: tasks, challenges, directions

Halil Kilicoglu
2017 Briefings in Bioinformatics  
In particular, we identify four key areas in which text mining techniques can make a significant contribution: plagiarism/fraud detection, ensuring adherence to reporting guidelines, managing information  ...  We review the existing methods and tools for specific tasks, if they exist, or discuss relevant research that can provide guidance for future work.  ...  Rindflesch, Olivier Bodenreider and Caroline Zeiss for their comments on earlier drafts of this article.  ... 
doi:10.1093/bib/bbx057 pmid:28633401 fatcat:va4d3u6zzjbpnfptseb23tnv7y

Abstracts of Recent PhDs

2008 Knowledge engineering review (Print)  
In binary domains, the use of 0-approximation means using threevalued (true, false, and unknown) states.  ...  Experimental results with respect to several well-known planning problems in the literature and self-created domains are presented.  ...  This tool was used in two fields, namely ischaemia detection and data mining.  ... 
doi:10.1017/s0269888908000064 fatcat:ui5tjp7h4jffxmmwpzef4nocum

Argumentative Link Prediction using Residual Networks and Multi-Objective Learning

Andrea Galassi, Marco Lippi, Paolo Torroni
2018 Proceedings of the 5th Workshop on Argument Mining  
We explore the use of residual networks for argumentation mining, with an emphasis on link prediction. The method we propose makes no assumptions on document or argument structure.  ...  Results show that our model outperforms an equivalent deep network and offers results comparable with state-of-the-art methods that rely on domain knowledge.  ...  Conclusion and future work We presented the first application of residual networks in the argumentation mining domain.  ... 
doi:10.18653/v1/w18-5201 dblp:conf/argmining/Galassi0T18 fatcat:wediforotbefzgcb7bkukl6d5y

Towards Creation of a Corpus for Argumentation Mining the Biomedical Genetics Research Literature

Nancy Green
2014 Proceedings of the First Workshop on Argumentation Mining  
Argumentation mining involves automatically identifying the premises, conclusion, and type of each argument as well as relationships between pairs of arguments in a document.  ...  We discuss the argumentation elements to be annotated, theoretical challenges, and practical issues in creating such a corpus.  ...  Malcolm Schug of the Biology Department of the University of North Carolina Greensboro for verifying our interpretation of the arguments in the genetics article.  ... 
doi:10.3115/v1/w14-2102 dblp:conf/acl/Green14 fatcat:3bfcywvwojcmvgjafmj6gkptna

Natural Language Argumentation: Mining, Processing, and Reasoning over Textual Arguments (Dagstuhl Seminar 16161)

Elena Cabrio, Graeme Hirst, Serena Villata, Adam Wyner, Marc Herbstritt
2016 Dagstuhl Reports  
recently born Argument Mining research area. 40 participants from 14 different countries took part in 7 sessions that included 30 talks, two tutorials, and a hands-on "unshared" task.  ...  This report documents the program and the outcomes of Dagstuhl Seminar 16161 "Natural Language Argumentation: Mining, Processing, and Reasoning over Textual Arguments", 17-22 April 2016.  ...  This work is supported by the Natural Sciences and Engineering Research Council of Canada and by the Social Sciences and Humanities Research Council.  ... 
doi:10.4230/dagrep.6.4.80 dblp:journals/dagstuhl-reports/CabrioHVW16 fatcat:qycza5veojckzpnzpkdt5lrev4

A Survey of State of the Art Biomedical Text Mining Techniques for Semantic Analysis

Hong-Jie Dai, Chi-Hsin Huang, Jaimie Yi-Wen Lin, Pei-Hsuan Chou, Richard Tzong-Han Tsai, Wen-Lian Hsu
2008 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008)  
In recent years, a range of text-mining applications have been developed to improve access to knowledge for biologists and database curators.  ...  This paper surveys text-mining works published from 2006 to 2008, with the emphasis on named entity recognition, biological relation extraction and currently available online biological text mining services  ...  For instance, Kogan et al. [23] extended PASBio to build a domain-specific set of PASs for the medical domain, while Shah et al.  ... 
doi:10.1109/sutc.2008.86 dblp:conf/sutc/DaiHLCTH08 fatcat:rro4q63izfesvo7q3mfzhxelwu

Biomedical Text Mining for Research Rigor and Integrity: Tasks, Challenges, Directions [article]

Halil Kilicoglu
2017 bioRxiv   pre-print
In particular, we identify four key areas in which text mining techniques can make a significant contribution: plagiarism/fraud detection, ensuring adherence to reporting guidelines, managing information  ...  With the exponential increase in biomedical research output and the ability of text mining approaches to perform automatic tasks at large scale, we propose that such approaches can add checks and balances  ...  Rindflesch, Olivier Bodenreider, and Caroline Zeiss for their comments on earlier drafts of this paper. Funding This work was supported by the intramural research program at the U.S.  ... 
doi:10.1101/108480 fatcat:7thsz7zjozfqbmqmkokqrn4bki

Using text mining and natural language processing for health care claims processing

Fred Popowich
2005 SIGKDD Explorations  
Using NLP techniques, the entities and relationships that act as indicators of recoverable claims are mined from management notes, call centre logs and patient records to identify medical claims that require  ...  A health care claims processing application is introduced which processes both structured and unstructured information associated with medical insurance claims.  ...  INTRODUCTION Text mining is concerned with the detection of patterns in natural language texts, just as data mining is concerned with the detection of patterns in databases.  ... 
doi:10.1145/1089815.1089824 fatcat:um2dakerkbdztg3harkhq4lw4m

A two-level approach to generate synthetic argumentation reports

Patrick Saint-Dizier, Floriana Grasso, Nancy L. Green
2018 Argument & Computation  
We propose a two-level approach: a synthesis of the propositions that have been mined, and navigation facilities that allow users to access arguments, structured in clusters, in order to get more details  ...  Given an issue and related propositions for or against it, a major challenge to make these propositions accessible to readers is to produce a synthesis that is readable, synthetic enough, and relevant  ...  Section 1 presents the challenges and the state of the art in argument mining and some relevant features of text summarization.  ... 
doi:10.3233/aac-180035 fatcat:4fylswcauzfgxereirgsln4tbq

Text mining and its potential applications in systems biology

Sophia Ananiadou, Douglas B. Kell, Jun-ichi Tsujii
2006 Trends in Biotechnology  
Text mining techniques, which involve the processes of information retrieval, information extraction and data mining, provide a means of solving this.  ...  By adding meaning to text, these techniques produce a more structured analysis of textual knowledge than simple word searches, and can provide powerful tools for the production and analysis of systems  ...  Acknowledgements We thank the BBSRC, EPSRC and JISC for financial support.  ... 
doi:10.1016/j.tibtech.2006.10.002 pmid:17045684 fatcat:ppkcfka7yrenjkz3z3ad4dj6ha
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