Automatic Extraction of SBVR Based Business Vocabulary from Natural Language Business Rules

Smart Data and Computational Intelligence - Lecture Notes in Networks and Systems ◽

10.1007/978-3-030-11914-0_19 ◽

2019 ◽

pp. 170-182 ◽

Cited By ~ 1

Author(s):

Abdellatif Haj ◽

Youssef Balouki ◽

Taoufiq Gadi

Keyword(s):

Natural Language ◽

Automatic Extraction ◽

Business Rules

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Enhancing the extraction of SBVR business vocabularies and business rules from UML use case diagrams with natural language processing

Proceedings of the 23rd Pan-Hellenic Conference on Informatics - PCI '19 ◽

10.1145/3368640.3368641 ◽

2019 ◽

Cited By ~ 1

Author(s):

Paulius Danenas ◽

Tomas Skersys ◽

Rimantas Butleris

Keyword(s):

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Use Case ◽

Business Rules

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Automatic Extraction and Classification of Patients’ Smoking Status from Free Text Using Natural Language Processing

Value in Health ◽

10.1016/j.jval.2016.09.158 ◽

2016 ◽

Vol 19 (7) ◽

pp. A373

Author(s):

A Caccamisi ◽

L Jörgensen ◽

H Dalianis ◽

M Rosenlund

Keyword(s):

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Smoking Status ◽

Free Text ◽

Automatic Extraction

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Automatic Extraction of Major Osteoporotic Fractures from Radiology Reports using Natural Language Processing

2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI-W) ◽

10.1109/ichi-w.2018.00021 ◽

2018 ◽

Author(s):

Yanshan Wang ◽

Saeed Mehrabi ◽

Sunghwan Sohn ◽

Elizabeth Atkinson ◽

Shreyasee Amin ◽

...

Keyword(s):

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Osteoporotic Fractures ◽

Automatic Extraction ◽

Radiology Reports ◽

Major Osteoporotic Fractures

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Automatic Processing of Dynamic Business Rules Written in a Controlled Natural Language

Towards a Synergistic Combination of Research and Practice in Software Engineering - Studies in Computational Intelligence ◽

10.1007/978-3-319-65208-5_7 ◽

2017 ◽

pp. 91-103

Author(s):

Bogumiła Hnatkowska ◽

Tomasz Gawęda

Keyword(s):

Natural Language ◽

Automatic Processing ◽

Business Rules ◽

Controlled Natural Language

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Automatic Extraction of Access Control Policies from Natural Language Documents

IEEE Transactions on Dependable and Secure Computing ◽

10.1109/tdsc.2018.2818708 ◽

2018 ◽

pp. 1-1 ◽

Cited By ~ 3

Author(s):

Masoud Narouei ◽

Hassan Takabi ◽

Rodney Nielsen

Keyword(s):

Access Control ◽

Natural Language ◽

Automatic Extraction ◽

Control Policies ◽

Access Control Policies

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Automatic Extraction of Business Rules to Improve Quality in Planning and Consolidation in Transport Logistics Based on Multi-agent Clustering

Autonomous Intelligent Systems: Multi-Agents and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72839-9_11 ◽

2007 ◽

pp. 124-137 ◽

Cited By ~ 1

Author(s):

Igor Minakov ◽

George Rzevski ◽

Petr Skobelev ◽

Simon Volman

Keyword(s):

Automatic Extraction ◽

Improve Quality ◽

Business Rules ◽

Multi Agent ◽

Transport Logistics

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Compatibility Checking of Business Rules Expressed in Natural Language Against Domain Specification

10.1007/978-3-030-88113-9_15 ◽

2021 ◽

pp. 188-198

Author(s):

Bogumila Hnatkowska

Keyword(s):

Natural Language ◽

Business Rules

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Automatic Extraction of Valency Information

ITL - International Journal of Applied Linguistics ◽

10.1075/itl.107-108.06dau ◽

1995 ◽

Vol 107-108 ◽

pp. 89-111

Author(s):

Jan Daugaard ◽

Sabine Kirchmeier-Andersen ◽

Lene Schøsler

Keyword(s):

Natural Language ◽

Research Team ◽

Corpus Analysis ◽

Automatic Extraction ◽

The Past ◽

Natural Language Parsing ◽

Theoretical Assumptions ◽

The Creation

Abstract The above research team has for the past 4 years been working on a database of valency schemes for 4,000 Danish verbs. First we present the underlying theoretical assumptions for the creation of valency schemes. Then the tools to perform automatic extraction of valency information from corpora are described. Finally, the results are presented. Keywords: natural language parsing, Danish, lexical valency, the Pronominal Approach, corpus analysis.

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Automatic extraction of imaging observation and assessment categories from breast magnetic resonance imaging reports with natural language processing

Chinese Medical Journal ◽

10.1097/cm9.0000000000000301 ◽

2019 ◽

Vol 132 (14) ◽

pp. 1673-1680

Author(s):

Yi Liu ◽

Li-Na Zhu ◽

Qing Liu ◽

Chao Han ◽

Xiao-Dong Zhang ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Natural Language Processing ◽

Magnetic Resonance ◽

Natural Language ◽

Language Processing ◽

Breast Magnetic Resonance Imaging ◽

Automatic Extraction ◽

Resonance Imaging ◽

Imaging Observation ◽

Breast Magnetic Resonance

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Natural language processing and machine learning to enable automatic extraction and classification of patients’ smoking status from electronic medical records

Upsala Journal of Medical Sciences ◽

10.1080/03009734.2020.1792010 ◽

2020 ◽

Vol 125 (4) ◽

pp. 316-324

Author(s):

Andrea Caccamisi ◽

Leif Jørgensen ◽

Hercules Dalianis ◽

Mats Rosenlund

Keyword(s):

Machine Learning ◽

Natural Language Processing ◽

Natural Language ◽

Electronic Medical Records ◽

Language Processing ◽

Medical Records ◽

Smoking Status ◽

Automatic Extraction

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