Paper: On The Feasibility of Open Domain Referring Expression Generation Using Large Scale Folksonomies

ACL ID N12-1082
Title On The Feasibility of Open Domain Referring Expression Generation Using Large Scale Folksonomies
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2012
Authors

Generating referring expressions has received considerable attention in Natural Language Generation. In recent years we start seeing deployments of referring expression genera- tors moving away from limited domains with custom-made ontologies. In this work, we ex- plore the feasibility of using large scale noisy ontologies (folksonomies) for open domain referring expression generation, an important task for summarization by re-generation. Our experiments on a fully annotated anaphora resolution training set and a larger, volunteer- submitted news corpus show that existing al- gorithms are efficient enough to deal with large scale ontologies but need to be extended to deal with undefined values and some mea- sure for information salience.