17-12-2025
جامعة الملك عبدالعزيز
KING ABDULAZIZ UNIVERSITY
Faculty of Computing and Information Technology
Document Details
Document Type
:
Article In Journal
Document Title
:
Managing ambiguity in reference generation: the role of surface ambiguity
إدارة الإلتباس اللغوي في التعبيرات المرجعية: دور الغموض اللغوي السطحي
Subject
:
Natural Language Generation
Document Language
:
English
Abstract
:
This article explores the role of surface ambiguities in referring expressions, and how the risk of such ambiguities should be taken into account by an algorithm that generates referring expressions, if these expressions are to be optimally effective for a hearer. We focus on the ambiguities that arise when adjectives occur in coordinated structures. The central idea is to use statistical information about lexical co-occurrence to estimate which interpretation of a phrase is most likely for human readers, and to avoid generating phrases where misunderstandings are likely. Various aspects of the problem were explored in three experiments in which responses by human participants provided evidence about which reading was most likely for certain phrases, which phrases were deemed most suitable for particular referents, and the speed at which various phrases were read. We found a preference for ‘‘clear’’ expressions to ‘‘unclear’’ ones, but if several of the expressions are ‘‘clear,’’ then brief expressions are preferred over non-brief ones even though the brief ones are syntactically ambiguous and the non-brief ones are not; the notion of clarity was made precise using Kilgarriff’s Word Sketches. We outline an implemented algorithm that generates noun phrases conforming to our hypotheses.
ISSN
:
1756-8765
Journal Name
:
Topics in Cognitive Science (ISI Indexed, IF: 3.18)
Volume
:
4
Issue Number
:
2
Publishing Year
:
1433 AH
2012 AD
Article Type
:
Article
Added Date
:
Saturday, June 23, 2012
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
امتياز حسين خان
khan, imtiaz hossin
Investigator
ihkhan@kau.edu.sa
Kees van Deemter
Deemter, Kees van
Researcher
k.vdeemter@abdn.ac.uk
Graeme Ritchie
Ritchie, Graeme
Researcher
g.ritchie@abdn.ac.uk
Files
File Name
Type
Description
33712.pdf
pdf
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