Rewriting Simplified Text into a Controlled Natural Language

Hazem Safwat; Manel Zarrouk; Brian Davis

doi:10.13025/21088

Rewriting Simplified Text into a Controlled Natural Language

Hazem Safwat
, Manel Zarrouk
, Brian Davis

Computer Science

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

Abstract

While machine processable Controlled Natural Languages (CNLs) as a natural language interface have proven a popular, unambiguous and user friendly method for non experts to engineer formal knowledge-bases, human-oriented CNLs however remain under-researched despite having found favor within industry over many years. Whether such human orientated CNLs like the machine processable counterparts can be captured automatically as formal knowledge remains an open question. In addition, rewriting all or most of a human-oriented CNL into a machine-oriented CNL could unlock significant silos of general purpose domain knowledge, contained within existing human-oriented CNL content for exploitation by knowledge based systems. This paper explores the feasibility of rewriting a human-orientated CNL represented in Simplified English into a well know machine-oriented CNL represented in ACE CNL and describes preliminary results.

Original language	English (Ireland)
Title of host publication	Sixth International Workshop on Controlled Natural Language (CNL 2018)
Publisher	IOS PRESS
DOIs	https://doi.org/10.13025/21088 https://doi.org/10.3233/978-1-61499-904-1-85
Publication status	Published - 1 Jan 2018

Keywords

Controlled Natural Language
Knowledge Extraction
Natural Language Processing
Semantic Web

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10.13025/21088Licence: CC BY
10.3233/978-1-61499-904-1-85

FAIA304-0085Accepted author manuscript, 289 KBLicence: CC BY

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title = "Rewriting Simplified Text into a Controlled Natural Language",

abstract = "While machine processable Controlled Natural Languages (CNLs) as a natural language interface have proven a popular, unambiguous and user friendly method for non experts to engineer formal knowledge-bases, human-oriented CNLs however remain under-researched despite having found favor within industry over many years. Whether such human orientated CNLs like the machine processable counterparts can be captured automatically as formal knowledge remains an open question. In addition, rewriting all or most of a human-oriented CNL into a machine-oriented CNL could unlock significant silos of general purpose domain knowledge, contained within existing human-oriented CNL content for exploitation by knowledge based systems. This paper explores the feasibility of rewriting a human-orientated CNL represented in Simplified English into a well know machine-oriented CNL represented in ACE CNL and describes preliminary results.",

keywords = "Controlled Natural Language, Knowledge Extraction, Natural Language Processing, Semantic Web",

author = "Hazem Safwat and Manel Zarrouk and Brian Davis",

year = "2018",

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doi = "10.13025/21088",

language = "English (Ireland)",

booktitle = "Sixth International Workshop on Controlled Natural Language (CNL 2018)",

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TY - GEN

T1 - Rewriting Simplified Text into a Controlled Natural Language

AU - Safwat, Hazem

AU - Zarrouk, Manel

AU - Davis, Brian

PY - 2018/1/1

Y1 - 2018/1/1

N2 - While machine processable Controlled Natural Languages (CNLs) as a natural language interface have proven a popular, unambiguous and user friendly method for non experts to engineer formal knowledge-bases, human-oriented CNLs however remain under-researched despite having found favor within industry over many years. Whether such human orientated CNLs like the machine processable counterparts can be captured automatically as formal knowledge remains an open question. In addition, rewriting all or most of a human-oriented CNL into a machine-oriented CNL could unlock significant silos of general purpose domain knowledge, contained within existing human-oriented CNL content for exploitation by knowledge based systems. This paper explores the feasibility of rewriting a human-orientated CNL represented in Simplified English into a well know machine-oriented CNL represented in ACE CNL and describes preliminary results.

AB - While machine processable Controlled Natural Languages (CNLs) as a natural language interface have proven a popular, unambiguous and user friendly method for non experts to engineer formal knowledge-bases, human-oriented CNLs however remain under-researched despite having found favor within industry over many years. Whether such human orientated CNLs like the machine processable counterparts can be captured automatically as formal knowledge remains an open question. In addition, rewriting all or most of a human-oriented CNL into a machine-oriented CNL could unlock significant silos of general purpose domain knowledge, contained within existing human-oriented CNL content for exploitation by knowledge based systems. This paper explores the feasibility of rewriting a human-orientated CNL represented in Simplified English into a well know machine-oriented CNL represented in ACE CNL and describes preliminary results.

KW - Controlled Natural Language

KW - Knowledge Extraction

KW - Natural Language Processing

KW - Semantic Web

UR - http://hdl.handle.net/10379/14946

U2 - 10.13025/21088

DO - 10.13025/21088

M3 - Conference Publication

BT - Sixth International Workshop on Controlled Natural Language (CNL 2018)

PB - IOS PRESS

ER -

Rewriting Simplified Text into a Controlled Natural Language

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Keywords

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