Paper: The Fingerprint of Human Referring Expressions and their Surface Realization with Graph Transducers (IS-FP IS-GT IS-FP-GT)}

ACL ID W08-1132
Title The Fingerprint of Human Referring Expressions and their Surface Realization with Graph Transducers (IS-FP IS-GT IS-FP-GT)}
Venue International Conference on Natural Language Generation
Session Main Conference
Year 2008
Authors

The algorithm IS-FP takes up the idea from the IS-FBN algorithm developed for the shared task 2007. Both algorithms learn the individual attribute selection style for each hu- man that provided referring expressions to the corpus. The IS-FP algorithm was developed with two additional goals (1) to improve the indentification time that was poor for the FBN algorithm and (2) to push the dice score even higher. In order to generate a word string for the selected attributes, we build based on indi- vidual preferences a surface syntactic depen- dency tree as input. We derive the individual preferences from the training set. Finally, a graph transducer maps the input strucutre to a deep morphologic structure. 1 IS-FP: Generating Referring Expression with a Human Imprint A review of the referring ...