Data-To-Text: Generating Summaries of Complex Data in English and Other Languages

Ehud Reiter (e (point) reiter <at> abdn (point) ac (point) uk)

University of Aberdeen

Le 13 janvier 2011 à 15 h 30 — JOUR ET HEURE INHABITUELS

Salle 1355, Pavillon AndrĂ©-Aisenstadt — LOCAL INHABITUEL

Data-to-text systems use artificial intelligence and natural language processing techniques to automatically generate textual summaries (in English, French, or other human languages) of complex data sets. Experimental evidence suggests that such text summaries can be a useful complement to standard data presentation mechanisms (eg, visualisation) in many situations. I will give an overview of data-to-text technology, and describe some of the data-to-text systems we have built in meteorology, education, engineering, and medicine. I will also discuss some of the key challenges faced by data-to-text systems, including in particular producing reasonable narratives.

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