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Natural language processing in support of decision-making: phrases and part-of-speech tagging

Robert M. Losee
2001 Information Processing & Management  
The use of natural language information can improve decision-making.  ...  Increasing information retrieval performance using phrases and part-of-speech (POS) information is one example of a type of decision-making performance that is improved when using this linguistic information  ...  Discussion Decision-making is improved by using part-of-speech tags and phrases in many cases.  ... 
doi:10.1016/s0306-4573(00)00061-3 fatcat:jgu5ifkw2bea3cocbkz6zdqb6q

Identification of Long Bone Fractures in Radiology Reports Using Natural Language Processing to support Healthcare Quality Improvement

Aaron Masino, T. Casper, Jonathan Dean, Jamie Bell, Rene Enriquez, Sara Deakyne, James Chamberlain, Elizabeth Alpern, Robert Grundmeier
2016 Applied Clinical Informatics  
Identification of long bone fractures in radiology reports using natural language processing to support healthcare quality improvement.  ...  Natural language processing (NLP) methods may help extract this information, but these methods have rarely been applied outside the research laboratories where they were developed.  ...  .: Identification of Long Bone Fractures in Radiology Reports  ... 
doi:10.4338/aci-2016-08-ra-0129 pmid:27826610 pmcid:PMC5228143 fatcat:u46y4ix4c5at3gwyifc2jqxygq

Decision-Making During Language Understanding by Intelligent Agents [chapter]

Marjorie McShane, Sergei Nirenburg
2015 Lecture Notes in Computer Science  
In the field of natural language processing, for its part, the common progression of processing modules is Syntax-Semantics-Pragmatics.  ...  This paper provides a high-level description of semantically-deep, reasoningrich language processing in the OntoAgent cognitive agent environment, which illustrates the practical gains of moving away from  ...  Acknowledgments This research was supported in part by Grant N00014-09-1-1029 from the U.S. Office of Naval Research.  ... 
doi:10.1007/978-3-319-21365-1_32 fatcat:yefytzb3ofegpkb4ltnzjvdrqy

Visualization of Uncertainty in Lattices to Support Decision-Making [article]

Christopher Collins, Sheelagh Carpendale, Gerald Penn
2007 EUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualization  
Lattice graphs are used as underlying data structures in many statistical processing systems, including natural language processing.  ...  processing, and help users make better-informed decisions about statistically-derived outputs.  ...  While lattice structures are used as black boxes in many processing systems, we know of no other visualization to support their use in "human-in-theloop" decision making.  ... 
doi:10.2312/vissym/eurovis07/051-058 fatcat:osjskhnxsnhj7mc4thxvbqv6dq

Web-Based Question Answering: A Decision-Making Perspective [article]

David Azari, Eric J. Horvitz, Susan Dumais, Eric Brill
2012 arXiv   pre-print
, given the cost of queries and the expected value of query results in refining an ultimate answer.  ...  We describe an investigation of the use of probabilistic models and cost-benefit analyses to guide resource-intensive procedures used by a Web-based question answering system.  ...  A variety of linguistic resources (part-of-speech tagging, parsing, named entity extraction, semantic relations, dictionaries, WordNet, etc.) are used to support question answering.  ... 
arXiv:1212.2453v1 fatcat:kjhheyv3vjhehkfoxtj7ugjp4q

ERMIS: Extracting Knowledge from Unstructured Big Data for Supporting Business Decision Making [chapter]

Christos Alexakos, Konstantinos Arvanitis, Andreas Papalambrou, Thomas Amorgianiotis, George Raptis, Nikolaos Zervos
2016 IFIP Advances in Information and Communication Technology  
Natural language processing (NLP): NLP involves the processing and understanding of natural language (in our case, in written form). In order to perform the NLP, the Apache UIMA framework is used.  ...  Big Data and Data-driven Decision Making A lot of decisions in the industry are based on the analysis of data. This practice is called Data-driven decision making (DDD).  ... 
doi:10.1007/978-3-319-44944-9_54 fatcat:pa6jgz4z35bx7mjidmlnil6mpu

Prediction and Analysis of Unstructured Text Data for Efficient Decision Making

Saurabh Shashikant Kulkarni
2019 International Journal for Research in Applied Science and Engineering Technology  
reviews for efficient decision making.  ...  In this seminar, we discuss a model about complete process of sentiment analysis.  ...  Our research is over Prediction and Analysis of Unstructured text data for efficient decision making.  ... 
doi:10.22214/ijraset.2019.5092 fatcat:j2aivj7mzjd65onyxto755cqf4

Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation

Yiqing Zhao, Nooshin J. Fesharaki, Hongfang Liu, Jake Luo
2018 BMC Medical Informatics and Decision Making  
We combined natural language processing (NLP) and semantic network analysis in our model generation pipeline.  ...  We extracted entities and relationships using the Stanford part-of-speech parser and the "Subject:Relationship:Object" syntactic data schema.  ...  The work was conducted at the Center for Biomedical Data and Language Processing in collaboration with the Department of Health Informatics and Administration, College of Health Sciences, University of  ... 
doi:10.1186/s12911-018-0645-3 pmid:29980203 pmcid:PMC6035419 fatcat:ypjgvkbhqrchlpwdz3hfawkqle

Social opinion mining for supporting buyers' complex decision making: exploratory user study and algorithm comparison

Li Chen, Luole Qi
2011 Social Network Analysis and Mining  
This article reports our study of the role of social content (i.e., user-generated content in social networking environment) in online consumers' decision process when they search for an inexperienced  ...  Finally, we present our system's user interfaces and emphasize on how to display the opinionmining results in the form of both quantitative presentation and qualitative visualization.  ...  Social opinion mining for supporting buyers' complex decision making and real in Flickr.''  ... 
doi:10.1007/s13278-011-0023-y fatcat:ebeaepoc75fkjdcp3gv3ylxyra

Selected articles from the BioCreative/OHNLP challenge 2018

Sijia Liu, Yanshan Wang, Hongfang Liu
2019 BMC Medical Informatics and Decision Making  
The guest editors would like to acknowledge all the authors, anonymous reviewers and the journal of BMC Medical Informatics and Decision Making for their contributions to this supplement.  ...  Cathy Wu, Zhiyong Lu and Lynette Hirschman for their supports on organizing the challenge and the workshop.  ...  The fact that many care process models use FHI highlights the importance of FHI in the decision-making process of diagnosis and treatment.  ... 
doi:10.1186/s12911-019-0994-6 pmid:31882003 pmcid:PMC6933636 fatcat:llxmntq4xbdahahctajal5uqjq

BioDEAL: community generation of biological annotations

Paul Breimyer, Nathan Green, Vinay Kumar, Nagiza F Samatova
2009 BMC Medical Informatics and Decision Making  
Natural Language Processing (NLP) tools can help address the growing divide by providing automatic high-throughput detection of simple terms in publication text.  ...  Publication databases in biomedicine (e.g., PubMed, MEDLINE) are growing rapidly in size every year, as are public databases of experimental biological data and annotations derived from the data.  ...  Within Biological TM there are two forms of annotations: linguistic, such as part-of-speech (POS), and biological annotations that are created by biologists and aim to identify biological information in  ... 
doi:10.1186/1472-6947-9-s1-s5 pmid:19891799 pmcid:PMC2773920 fatcat:hhbm4pm3djb3rjic6oyremzdg4

Fine-grained information extraction from German transthoracic echocardiography reports

Martin Toepfer, Hamo Corovic, Georg Fette, Peter Klügl, Stefan Störk, Frank Puppe
2015 BMC Medical Informatics and Decision Making  
Many languages and clinical domains, however, lack appropriate resources and tools, as well as evaluations of their applications, especially if detailed conceptualizations of the domain are required.  ...  In particular, principal aspects as defined in a standardized external terminology were recognized with f 1 = .989 (micro average) and f 1 = .963 (macro average).  ...  There has also been research considering clinical natural language processing tasks in German, for instance, sentence boundary and abbreviation detection [30] or part-of-speech tagging [31] .  ... 
doi:10.1186/s12911-015-0215-x pmid:26563260 pmcid:PMC4643516 fatcat:gl5vs2vjlrbktnq6lz6zqbcbn4

A Fuzzy Logic Based Intelligent System for Measuring Customer Loyalty and Decision Making

Usman Ghani, Imran Bajwa, Aimen Ashfaq
2018 Symmetry  
To find customer's loyalty and help in decision making, the fuzzy logic approach is applied using a set of membership functions and rule-based system of fuzzy sets that classify data in various types of  ...  The proposed approach pre-processes the input text via tokenization, Lemmatization and removal of stop words and then applies fuzzy logic approach to take decisions.  ...  I.S.B. has supervised this research work and contributed in design of the approach, writing, review and editing this paper. A.A. has contributed in implementation and coding of this research.  ... 
doi:10.3390/sym10120761 fatcat:dabtv4llybhc5kyra3237l2oca

Understanding Human Decision-making during Production Ramp-up using Natural Language Processing

Melanie Zimmer, Ali Al-Yacoub, Pedro Ferreira, Niels Lohse
2019 2019 IEEE 17th International Conference on Industrial Informatics (INDIN)  
This paper proposes Natural Language Processing (NLP) to interpret human operator comments collected during ramp-up.  ...  Information about the experienced faults and issues might be recorded, but usually, no record of decisions concerning necessary physical and process adjustments are kept.  ...  As the outputs will be mandatory to be fed back to a human, it is crucial that the structured data will be still understandable and useable. 5) Part-of-speech (POS) tagging: The usage of POS tagging  ... 
doi:10.1109/indin41052.2019.8972033 dblp:conf/indin/ZimmerAFL19 fatcat:5ewjcygxkzgfzafrwtwveoiktq

A hybrid approach for named entity recognition in Chinese electronic medical record

Bin Ji, Rui Liu, Shasha Li, Jie Yu, Qingbo Wu, Yusong Tan, Jiaju Wu
2019 BMC Medical Informatics and Decision Making  
With the rapid spread of electronic medical records and the arrival of medical big data era, the application of natural language processing technology in biomedicine has become a hot research topic.  ...  Funding This study was financially supported by a grant of the China National Key R&D Program for Feiteng Virtualization (2018YFB1003602).  ...  Availability of data and materials Data are jointly provided by Tsinghua University Knowledge Engineering Laboratory and Yiducloud (Beijing) Technology Co., Ltd., so data cannot be shared with other research  ... 
doi:10.1186/s12911-019-0767-2 pmid:30961597 pmcid:PMC6454595 fatcat:pttxgegvfzcyzjbfevdovgvb5u
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