We have begun a project to automatically create the lexico-syntactic resources for a microplanner as a side-effect of running a domain-specific language understanding system. The ...
The semantic web is a general vision for supporting knowledge-based processing across the WWW and its successors. As such, semantic web technology has potential to support the exc...
We describe our contribution to the Generation Challenge 2010 for the tasks of Named Entity Recognition and coreference detection (GREC-NER). To extract the NE and the referring e...
We describe the second installment of the Challenge on Generating Instructions in Virtual Environments (GIVE-2), a shared task for the NLG community which took place in 2009-10. W...
Alexander Koller, Kristina Striegnitz, Andrew Garg...
We present a framework for reformulating sentences by applying transfer rules on a typed dependency representation. We specify a list of operations that the framework needs to sup...
In this paper we describe a cross-linguistic experiment in attribute selection for referring expression generation. We used a graph-based attribute selection algorithm that was tr...
Today there exist a growing number of framenet-like resources offering semantic and syntactic phrase specifications that can be exploited by natural language generation systems. I...
Ontologies and datasets for the Semantic Web are encoded in OWL formalisms that are not easily comprehended by people. To make ontologies accessible to human domain experts, sever...
The generation of referring expressions (GRE), an important subtask of Natural Language Generation (NLG) is to generate phrases that uniquely identify domain entities. Until recen...
The problem of Named Entity Generation is expressed as a conditional probability model over a structured domain. By defining a factor-graph model over the mentions of a text, we o...