NDLI: Extending Nocuous Ambiguity Analysis for Anaphora in Natural Language Requirements

Content Provider	IEEE Xplore Digital Library
Author	Hui Yang de Roeck, A. Gervasi, V. Willis, A. Nuseibeh, B.
Copyright Year	2010
Abstract	This paper presents an approach to automatically identify potentially nocuous ambiguities, which occur when text is interpreted differently by different readers of requirements written in natural language. We extract a set of anaphora ambiguities from a range of requirements documents, and collect multiple human judgments on their interpretations. The judgment distribution is used to determine if an ambiguity is nocuous or innocuous. We investigate a number of antecedent preference heuristics that we use to explore aspects of anaphora which may lead a reader to favour a particular interpretation. Using machine learning techniques, we build an automated tool to predict the antecedent preference of noun phrase candidates, which in turn is used to identify nocuous ambiguity. We report on a series of experiments that we conducted to evaluate the performance of our automated system. The results show that the system achieves high recall with a consistent improvement on baseline precision subject to some ambiguity tolerance levels, allowing us to explore and highlight realistic and potentially problematic ambiguities in actual requirements documents.
Starting Page	25
Ending Page	34
File Size	442649
Page Count	10
File Format	PDF
ISBN	9781424480227
ISSN	1090705X
DOI	10.1109/RE.2010.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-27
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Syntactics Semantics Humans Prototypes Context Manuals Pragmatics machine learning nocuous ambiguity NL requirements anaphora ambiguity antecedent preference heuristics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Analysing anaphoric ambiguity in natural language requirements

Automatic detection of nocuous coordination ambiguities in natural language requirements

Speculative requirements: Automatic detection of uncertainty in natural language requirements

Machine Learning for Detecting Pronominal Anaphora Ambiguity in NL Requirements

Mining Romanian texts for semantic knowledge

Automated Translation Machines: Challenges and a Proposed Solution

Quantifiers Types Resolution in NL Software Requirements

Using collective intelligence to detect pragmatic ambiguities

A methodology for automatic identification of nocuous ambiguity.

Extending Nocuous Ambiguity Analysis for Anaphora in Natural Language Requirements

Similar Documents

Analysing anaphoric ambiguity in natural language requirements

Automatic detection of nocuous coordination ambiguities in natural language requirements

Speculative requirements: Automatic detection of uncertainty in natural language requirements

Machine Learning for Detecting Pronominal Anaphora Ambiguity in NL Requirements

Mining Romanian texts for semantic knowledge

Automated Translation Machines: Challenges and a Proposed Solution

Quantifiers Types Resolution in NL Software Requirements

Using collective intelligence to detect pragmatic ambiguities

A methodology for automatic identification of nocuous ambiguity.

Extending Nocuous Ambiguity Analysis for Anaphora in Natural Language Requirements