Using semantic frames for automatic annotation of regulatory texts

Kartik Asooja; Georgeta Bordea; Paul Buitelaar

doi:10.1007/978-3-319-41754-7_38

Using semantic frames for automatic annotation of regulatory texts

Kartik Asooja
, Georgeta Bordea
, Paul Buitelaar

University of Galway

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

1 Citation (Scopus)

Abstract

The global legislation system is being actively updated, especially after the financial crisis of 2007-2008. This results in a significant amount of work load for the different industries, in order to cope up with the volume, velocity, variety, and complexity of the regulations in order to be compliant. So far, this is mainly being handled manually by the regulatory experts in the industries. In this paper, we explore the space of providing automatic assistance to experts in compliance verification pipeline. This work specifically focuses on performing automatic semantic annotations of the regulatory documents with a set of predefined categories. This is achieved by using text classification approaches using linguistically motivated features.

Original language	English
Title of host publication	Natural Language Processing and Information Systems - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Proceedings
Editors	Elisabeth Métais, Vijayan Sugumaran, Farid Meziane, Mohamad Saraee, Sunil Vadera
Publisher	Springer-Verlag
Pages	384-391
Number of pages	8
ISBN (Print)	9783319417530
DOIs	https://doi.org/10.1007/978-3-319-41754-7_38
Publication status	Published - 2016
Externally published	Yes
Event	21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016 - Salford, United Kingdom Duration: 22 Jun 2016 → 24 Jun 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9612
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016
Country/Territory	United Kingdom
City	Salford
Period	22/06/16 → 24/06/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 10 Reduced Inequalities

Access to Document

10.1007/978-3-319-41754-7_38

Cite this

Asooja, K., Bordea, G., & Buitelaar, P. (2016). Using semantic frames for automatic annotation of regulatory texts. In E. Métais, V. Sugumaran, F. Meziane, M. Saraee, & S. Vadera (Eds.), Natural Language Processing and Information Systems - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Proceedings (pp. 384-391). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9612). Springer-Verlag. https://doi.org/10.1007/978-3-319-41754-7_38

Asooja, Kartik ; Bordea, Georgeta ; Buitelaar, Paul. / Using semantic frames for automatic annotation of regulatory texts. Natural Language Processing and Information Systems - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Proceedings. editor / Elisabeth Métais ; Vijayan Sugumaran ; Farid Meziane ; Mohamad Saraee ; Sunil Vadera. Springer-Verlag, 2016. pp. 384-391 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Using semantic frames for automatic annotation of regulatory texts",

abstract = "The global legislation system is being actively updated, especially after the financial crisis of 2007-2008. This results in a significant amount of work load for the different industries, in order to cope up with the volume, velocity, variety, and complexity of the regulations in order to be compliant. So far, this is mainly being handled manually by the regulatory experts in the industries. In this paper, we explore the space of providing automatic assistance to experts in compliance verification pipeline. This work specifically focuses on performing automatic semantic annotations of the regulatory documents with a set of predefined categories. This is achieved by using text classification approaches using linguistically motivated features.",

author = "Kartik Asooja and Georgeta Bordea and Paul Buitelaar",

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year = "2016",

doi = "10.1007/978-3-319-41754-7\_38",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "384--391",

editor = "Elisabeth M{\'e}tais and Vijayan Sugumaran and Farid Meziane and Mohamad Saraee and Sunil Vadera",

booktitle = "Natural Language Processing and Information Systems - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Proceedings",

}

Asooja, K, Bordea, G & Buitelaar, P 2016, Using semantic frames for automatic annotation of regulatory texts. in E Métais, V Sugumaran, F Meziane, M Saraee & S Vadera (eds), Natural Language Processing and Information Systems - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9612, Springer-Verlag, pp. 384-391, 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, United Kingdom, 22/06/16. https://doi.org/10.1007/978-3-319-41754-7_38

Using semantic frames for automatic annotation of regulatory texts. / Asooja, Kartik; Bordea, Georgeta; Buitelaar, Paul.
Natural Language Processing and Information Systems - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Proceedings. ed. / Elisabeth Métais; Vijayan Sugumaran; Farid Meziane; Mohamad Saraee; Sunil Vadera. Springer-Verlag, 2016. p. 384-391 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9612).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - Using semantic frames for automatic annotation of regulatory texts

AU - Asooja, Kartik

AU - Bordea, Georgeta

AU - Buitelaar, Paul

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - The global legislation system is being actively updated, especially after the financial crisis of 2007-2008. This results in a significant amount of work load for the different industries, in order to cope up with the volume, velocity, variety, and complexity of the regulations in order to be compliant. So far, this is mainly being handled manually by the regulatory experts in the industries. In this paper, we explore the space of providing automatic assistance to experts in compliance verification pipeline. This work specifically focuses on performing automatic semantic annotations of the regulatory documents with a set of predefined categories. This is achieved by using text classification approaches using linguistically motivated features.

AB - The global legislation system is being actively updated, especially after the financial crisis of 2007-2008. This results in a significant amount of work load for the different industries, in order to cope up with the volume, velocity, variety, and complexity of the regulations in order to be compliant. So far, this is mainly being handled manually by the regulatory experts in the industries. In this paper, we explore the space of providing automatic assistance to experts in compliance verification pipeline. This work specifically focuses on performing automatic semantic annotations of the regulatory documents with a set of predefined categories. This is achieved by using text classification approaches using linguistically motivated features.

UR - https://www.scopus.com/pages/publications/84977549003

U2 - 10.1007/978-3-319-41754-7_38

DO - 10.1007/978-3-319-41754-7_38

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SN - 9783319417530

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 391

BT - Natural Language Processing and Information Systems - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Proceedings

A2 - Métais, Elisabeth

A2 - Sugumaran, Vijayan

A2 - Meziane, Farid

A2 - Saraee, Mohamad

A2 - Vadera, Sunil

PB - Springer-Verlag

T2 - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016

Y2 - 22 June 2016 through 24 June 2016

ER -

Asooja K, Bordea G, Buitelaar P. Using semantic frames for automatic annotation of regulatory texts. In Métais E, Sugumaran V, Meziane F, Saraee M, Vadera S, editors, Natural Language Processing and Information Systems - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Proceedings. Springer-Verlag. 2016. p. 384-391. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-41754-7_38

Using semantic frames for automatic annotation of regulatory texts

Abstract

Publication series

Conference

UN SDGs

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