Skip navigation
Skip navigation

Anaphora in natural language understanding : a survey

Hirst, Graeme John

Description

A problem that all computer-based natural language understanding (NLU) systems encounter is that of linguistic reference, and in particular anaphora (abbreviated reference). For example, in a text as simple as: Nadia showed sue her new car. orange. The seats were Day-Glo knowing that "her" probably means Nadia and not Sue and that "the seats" means the seats of Nadia's new car is not a simple task. This thesis is an extensive review of the reference and anaphor problem, and the...[Show more]

dc.contributor.authorHirst, Graeme John
dc.date.accessioned2017-12-20T04:58:19Z
dc.date.available2017-12-20T04:58:19Z
dc.date.copyright1979
dc.identifier.otherb1272351
dc.identifier.urihttp://hdl.handle.net/1885/138376
dc.description.abstractA problem that all computer-based natural language understanding (NLU) systems encounter is that of linguistic reference, and in particular anaphora (abbreviated reference). For example, in a text as simple as: Nadia showed sue her new car. orange. The seats were Day-Glo knowing that "her" probably means Nadia and not Sue and that "the seats" means the seats of Nadia's new car is not a simple task. This thesis is an extensive review of the reference and anaphor problem, and the approaches to it that NLU systems have taken, from early systems such as STUDENT through to current discourse-oriented ones such as PAL. The problem is first examined in detail, and examples are given of many different types of anaphor, some of which have been ignored by previous authors. The approaches taken in traditional systems are then described and abstracted and it is shown why they were inadequate, and why discourse theme and anaphoric focus need to be taken into account. The strengths and weaknesses of current anaphora theories and approaches are evaluated . The thesis closes with a list of some remaining research problems. The thesis has been written so as to be as comprehensible as possible to both AI workers who know no linguistics, and linguists who have not studied artificial intelligence.
dc.format.extent1v
dc.language.isoen
dc.subject.lcshAnaphora (Linguistics)
dc.subject.lcshReference (Linguistics)
dc.subject.lcshArtificial intelligence
dc.subject.lcshProgramming languages (Electronic computers)
dc.subject.lcshLanguages, Artificial
dc.titleAnaphora in natural language understanding : a survey
dc.typeThesis (Masters)
local.contributor.supervisorRosenberg, Richard S.
dcterms.valid1979
local.description.notesThesis (M.Sc.)--Australian National University, 1979. This thesis has been made available through exception 200AB to the Copyright Act.
local.type.degreeOther
dc.date.issued1979
local.contributor.affiliationDepartment of Engineering Physics, Research School of Physical Sciences, The Australian National University
local.identifier.doi10.25911/5d6f9e672817c
dc.date.updated2017-11-22T22:54:53Z
local.mintdoimint
CollectionsOpen Access Theses

Download

File Description SizeFormat Image
b12723514_Hirst, Graeme John.pdf95.47 MBAdobe PDFThumbnail


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator