Difference between revisions of "Data sets for NLG"

From ACL Wiki
Jump to navigation Jump to search
(+cat)
(+GRE3D3)
Line 9: Line 9:
 
== Focus on Content Selection, Aggregation ==
 
== Focus on Content Selection, Aggregation ==
  
=== [[SumTime]] Meteo ===
+
=== SumTime Meteo ===
  
 
These data contain predictions for meteorological parameters such as precipitation, temperature, wind speed, and cloud cover at various altitudes, at regular intervals for various points in the area of interest.
 
These data contain predictions for meteorological parameters such as precipitation, temperature, wind speed, and cloud cover at various altitudes, at regular intervals for various points in the area of interest.
Line 18: Line 18:
  
 
Project link: http://www.csd.abdn.ac.uk/research/sumtime/
 
Project link: http://www.csd.abdn.ac.uk/research/sumtime/
 +
 +
== Focus on Referring Expression Generation ==
 +
 +
Referring expression generation is a sub-task of NLG with an active research community.
 +
 +
=== GRE3D3: Spatial Relations in Referring Expressions ===
 +
A [http://www.ics.mq.edu.au/~jviethen/spatial/ web-based production experiment] was conducted by Jette Viethen under the supervision of Robert Dale.
 +
The resulting [http://www.ics.mq.edu.au/~jviethen/spatial/GRE3D3.zip GRE3D3 corpus] contains 720 referring expressions for simple objects in simple 3D scenes.
  
 
== Focus on Lexicalization ==
 
== Focus on Lexicalization ==
 +
...
  
 
== Focus on Syntax, Realization ==
 
== Focus on Syntax, Realization ==
 +
...
  
  
 
[[Category:Knowledge Collections and Datasets]]
 
[[Category:Knowledge Collections and Datasets]]
 
{{SIGGEN Wiki}}
 
{{SIGGEN Wiki}}

Revision as of 07:05, 9 February 2009


This page lists sets of structured data to be used as input for natural language generation tasks.

Focus on Content Selection, Aggregation

SumTime Meteo

These data contain predictions for meteorological parameters such as precipitation, temperature, wind speed, and cloud cover at various altitudes, at regular intervals for various points in the area of interest.

The weather corpus currently exists as an Access database and, alternatively, in form of CSV (ASCII) files.

Download and Info: SumTime-Meteo

Project link: http://www.csd.abdn.ac.uk/research/sumtime/

Focus on Referring Expression Generation

Referring expression generation is a sub-task of NLG with an active research community.

GRE3D3: Spatial Relations in Referring Expressions

A web-based production experiment was conducted by Jette Viethen under the supervision of Robert Dale. The resulting GRE3D3 corpus contains 720 referring expressions for simple objects in simple 3D scenes.

Focus on Lexicalization

...

Focus on Syntax, Realization

...

Siggen-logo.gif This page was imported semi-automatically from the NLG Resources Wiki which was run by ACL SIGGEN in the years 2005–2009. Please correct conversion errors and help update its contents.

Now this page is associated with the Natural Language Generation Portal.