Catálogo de publicaciones - libros
Ecology of Tidal Freshwater Swamps of the Southeastern United States
William H. Conner Thomas W. Doyle Ken W. Krauss
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No disponible.
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Disponibilidad
Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No detectada | 2007 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-1-4020-5094-7
ISBN electrónico
978-1-4020-5095-4
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2007
Información sobre derechos de publicación
© Springer 2007
Cobertura temática
Tabla de contenidos
Ecological Characteristics of Tidal Freshwater Forests Along the Lower Suwannee River, Florida
Helen M. Light; Melanie R. Darst; Robert A. Mattson
The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation
Pp. 291-320
Community Composition of Select Areas of Tidal Freshwater Forest Along the Savannah River
Jamie Duberstein; Wiley Kitchens
The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation
Pp. 321-348
Ecology of the Maurepas Swamp: Effects of Salinity, Nutrients, and Insect Defoliation
Rebecca S. Effler; Gary P. Shaffer; Susanne S. Hoeppner; Richard A. Goyer
The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation
Pp. 349-384
Selection for Salt Tolerance in Tidal Freshwater Swamp Species: Advances Using Baldcypress as a Model for Restoration
Ken W. Krauss; Jim L. Chambers; David Creech
The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation
Pp. 385-410
Assessing the Impact of Tidal Flooding and Salinity on Long-term Growth of Baldcypress Under Changing Climate and Riverflow
Thomas W. Doyle; William H. Conner; Marceau Ratard; L. Wayne Inabinette
The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation
Pp. 411-445
Conservation and Use of Coastal Wetland Forests in Louisiana
Stephen P. Faulkner; Jim L. Chambers; William H. Conner; Richard F. Keim; John W. Day; Emile S. Gardiner; Melinda S. Hughes; Sammy L. King; Kenneth W. McLeod; Craig A. Miller; J. Andrew Nyman; Gary P. Shaffer
The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation
Pp. 447-460
Tidal Freshwater Forested Wetlands: Future Research Needs and an Overview of Restoration
William H. Conner; Courtney T. Hackney; Ken W. Krauss; John W. Day
The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation
Pp. 461-488