Richard Power


2013

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A System for the Simplification of Numerical Expressions at Different Levels of Understandability
Susana Bautista | Raquel Hervás | Pablo Gervás | Richard Power | Sandra Williams
Proceedings of the Workshop on Natural Language Processing for Improving Textual Accessibility

2012

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Planning Accessible Explanations for Entailments in OWL Ontologies
Tu Anh T. Nguyen | Richard Power | Paul Piwek | Sandra Williams
INLG 2012 Proceedings of the Seventh International Natural Language Generation Conference

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Generating Numerical Approximations
Richard Power | Sandra Williams
Computational Linguistics, Volume 38, Issue 1 - March 2012

2011

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Experimental Identification of the Use of Hedges in the Simplification of Numerical Expressions
Susana Bautista | Raquel Hervás | Pablo Gervás | Richard Power | Sandra Williams
Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies

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Deriving rhetorical relationships from semantic content
Richard Power
Proceedings of the 13th European Workshop on Natural Language Generation

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Levels of organisation in ontology verbalisation
Sandra Williams | Allan Third | Richard Power
Proceedings of the 13th European Workshop on Natural Language Generation

2010

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Grouping Axioms for More Coherent Ontology Descriptions
Sandra Williams | Richard Power
Proceedings of the 6th International Natural Language Generation Conference

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Complexity Assumptions in Ontology Verbalisation
Richard Power
Proceedings of the ACL 2010 Conference Short Papers

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A Fact-aligned Corpus of Numerical Expressions
Sandra Williams | Richard Power
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

We describe a corpus of numerical expressions, developed as part of the NUMGEN project. The corpus contains newspaper articles and scientific papers in which exactly the same numerical facts are presented many times (both within and across texts). Some annotations of numerical facts are original: for example, numbers are automatically classified as round or non-round by an algorithm derived from Jansen and Pollmann (2001); also, numerical hedges such as ‘about’ or ‘a little under’ are marked up and classified semantically using arithmetical relations. Through explicit alignment of phrases describing the same fact, the corpus can support research on the influence of various contextual factors (e.g., document position, intended readership) on the way in which numerical facts are expressed. As an example we present results from an investigation showing that when a fact is mentioned more than once in a text, there is a clear tendency for precision to increase from first to subsequent mentions, and for mathematical level either to remain constant or to increase.

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Expressing OWL axioms by English sentences: dubious in theory, feasible in practice
Richard Power | Allan Third
Coling 2010: Posters

2009

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Towards a Generation-Based Semantic Web Authoring Tool
Richard Power
Proceedings of the 12th European Workshop on Natural Language Generation (ENLG 2009)

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Precision and Mathematical Form in First and Subsequent Mentions of Numerical Facts and their Relation to Document Structure
Sandra Williams | Richard Power
Proceedings of the 12th European Workshop on Natural Language Generation (ENLG 2009)

2008

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Fast, Scalable and Reliable Generation of Controlled Natural Language
David Hardcastle | Richard Power
Software Engineering, Testing, and Quality Assurance for Natural Language Processing

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Deriving Rhetorical Complexity Data from the RST-DT Corpus
Sandra Williams | Richard Power
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

This paper describes a study of the levels at which different rhetorical relations occur in rhetorical structure trees. In a previous empirical study (Williams and Reiter, 2003) of the RST-DT (Rhetorical Structure Theory Discourse Treebank) Corpus (Carlson et al., 2003), we noticed that certain rhetorical relations tended to occur more frequently at higher levels in a rhetorical structure tree, whereas others seemed to occur more often at lower levels. The present study takes a closer look at the data, partly to test this observation, and partly to investigate related issues such as the relative complexity of satellite and nucleus for each type of relation. One practical application of this investigation would be to guide discourse planning in Natural Language Generation (NLG), so that it reflects more accurately the structures found in documents written by human authors. We present our preliminary findings and discuss their relevance for discourse planning.

2007

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Abstract verbs
Richard Power
Proceedings of the Eleventh European Workshop on Natural Language Generation (ENLG 07)

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Generating monologue and dialogue to present personalised medical information to patients
Sandra Williams | Paul Piwek | Richard Power
Proceedings of the Eleventh European Workshop on Natural Language Generation (ENLG 07)

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Composing Questions through Conceptual Authoring
Catalina Hallett | Donia Scott | Richard Power
Computational Linguistics, Volume 33, Number 1, March 2007

2006

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Implementing a Characterization of Genre for Automatic Genre Identification of Web Pages
Marina Santini | Richard Power | Roger Evans
Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions

2005

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Automatic generation of large-scale paraphrases
Richard Power | Donia Scott
Proceedings of the Third International Workshop on Paraphrasing (IWP2005)

2004

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Wysiwym with wider coverage
Richard Power | Roger Evans
Proceedings of the ACL Interactive Poster and Demonstration Sessions

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Optimizing Referential Coherence in Text Generation
Rodger Kibble | Richard Power
Computational Linguistics, Volume 30, Number 4, December 2004

2003

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Document Structure
Richard Power | Donia Scott | Nadjet Bouayad-Agha
Computational Linguistics, Volume 29, Number 2, June 2003

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Multilingual generation of controlled languages
Richard Power | Donia Scott | Anthony Hartley
EAMT Workshop: Improving MT through other language technology tools: resources and tools for building MT

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WYSIWYM - building user interfaces with natural language feedback
Roger Evans | Richard Power
Demonstrations

2002

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PILLS: Multilingual generation of medical information documents with overlapping content
Nadjet Bouayad-Agha | Richard Power | Donia Scott | Anja Belz
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

2001

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From RAGS to RICHES: Exploiting the Potential of a Flexible Generation Architecture
Lynne Cahill | John Carroll | Roger Evans | Daniel Paiva | Richard Power | Donia Scott | Kees van Deemter
Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics

2000

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Authoring Multimedia Documents using WYSIWYM Editing
Kees van Deemter | Richard Power
COLING 2000 Volume 1: The 18th International Conference on Computational Linguistics

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Planning texts by constraint satisfaction
Richard Power
COLING 2000 Volume 2: The 18th International Conference on Computational Linguistics

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An integrated framework for text planning and pronominalisation
Rodger Kibble | Richard Power
INLG’2000 Proceedings of the First International Conference on Natural Language Generation

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Can text structure be incompatible with rhetorical structure?
Nadjet Bouayad-Agha | Richard Power | Donia Scott
INLG’2000 Proceedings of the First International Conference on Natural Language Generation

1999

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Generating referring expressions with a unification grammar
Richard Power
Ninth Conference of the European Chapter of the Association for Computational Linguistics

1998

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Multilingual authoring using feedback texts
Richard Power | Donia Scott
COLING 1998 Volume 2: The 17th International Conference on Computational Linguistics

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Multilingual Authoring using Feedback Texts
Richard Power | Donia Scott
36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 2

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Coreference in Knowledge Editing
Kees van Deemter | Richard Power
The Computational Treatment of Nominals

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Generation as a Solution to Its Own Problem
Donia Scott | Richard Power | Roger Evans
Natural Language Generation

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WYSIWYM: knowledge editing with natural language feedback
Richard Power | Donia Scott
Natural Language Generation

1996

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Multilingual generation of administrative forms
Richard Power | Nico Cavallotto
Eighth International Natural Language Generation Workshop (Posters and Demonstrations)