Descripción de Entidades y Generación de Expresiones de Referencia en la Generación Automática de Discurso

Entity description is an essential task in automatic generation of text for any kind of discouse. Every text needs to refer to domain elements with di!e- rent goals, and the baseline of these references would be the descriptions of these elements presented before. Two of the main tasks of Natural Language Generation (NLG) are involved in this process: Content Determination and Referring Expres- sion Generation. In this work the relation between them is studied from the point of view of entity descriptions and references in any type of automatically generated discourse. It would be necessary to revise the classic pipeline architecture, exploring the interactions between the di!erent modules involved.

[1]  Liliana Ardissono,et al.  Dynamic Generation of Adaptive Web Catalogs , 2000, AH.

[2]  Ehud Reiter,et al.  Book Reviews: Building Natural Language Generation Systems , 2000, CL.

[3]  Maria Milosavljevic.  Defining Comparison , 2003 .

[4]  Kalina Bontcheva,et al.  Dealing with Dependencies between Content Planning and Surface Realisation in a Pipeline Generation Architecture , 2001, IJCAI.

[5]  Kathleen McKeown,et al.  Empirically Designing and Evaluating a New Revision-Based Model for Summary Generation , 1996, Artif. Intell..

[6]  Joseph Bates,et al.  Integrated Natural Language Generation Systems , 1992, NLG.

[7]  Robert Dale,et al.  A Fast Algorithm for the Generation of Referring Expressions , 1992, COLING.

[8]  Raquel Hervás,et al.  NIL-UCM: Most-Frequent-Value-First Attribute Selection and Best-Scoring-Choice Realization , 2008, INLG.

[9]  Michael Zock,et al.  Architectures for Natural Language Generation: Problems and Perspectives , 1993, EWNLG.

[10]  Richard I. Kittredge,et al.  Using natural-language processing to produce weather forecasts , 1994, IEEE Expert.

[11]  Amy Isard.  Choosing the best comparison under the circumstances , 2007 .

[12]  Owen Rambow,et al.  Customizable Descriptions of Object-Oriented Models , 1997, ANLP.

[13]  Siobhan Chapman.  Logic and Conversation , 2005 .

[14]  Ehud Reiter,et al.  Has a Consensus NL Generation Architecture Appeared, and is it Psycholinguistically Plausible? , 1994, INLG.

[15]  James C. Lester,et al.  Narrative prose generation , 2001, Artif. Intell..

[16]  Chris Mellish,et al.  The RAGS reference manual , 2002 .