Dialogue systems as conversational partners: applying conversation acts theory to natural language generation for task-oriented mixed-initiative spoken dialogue
The FrameNet tagset for frame-semantic and syntactic coding of predicate-argument structure
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
A practical semantic representation for natural language parsing
A practical semantic representation for natural language parsing
Design of a multi-lingual, parallel-processing statistical parsing engine
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Discourse annotation in the Monroe corpus
DiscAnnotation '04 Proceedings of the 2004 ACL Workshop on Discourse Annotation
Backbone extraction and pruning for speeding up a deep parser for dialogue systems
ScaNaLU '06 Proceedings of the Third Workshop on Scalable Natural Language Understanding
SRSL '09 Proceedings of the 2nd Workshop on Semantic Representation of Spoken Language
From generalization of syntactic parse trees to conceptual graphs
ICCS'10 Proceedings of the 18th international conference on Conceptual structures: from information to intelligence
Using generalization of syntactic parse trees for taxonomy capture on the web
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
Inferring the semantic properties of sentences by mining syntactic parse trees
Data & Knowledge Engineering
Machine learning of syntactic parse trees for search and classification of text
Engineering Applications of Artificial Intelligence
Transfer learning of syntactic structures for building taxonomies for search engines
Engineering Applications of Artificial Intelligence
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Producing detailed syntactic and semantic representations of natural language is essential for practical dialog systems such as plan-based assistants and tutorial systems. Development of such systems is time-consuming and costly as they are typically hand-crafted for each application, and dialog corpus data is more difficult to obtain than text. The TRIPS parser and grammar addresses these issues by providing broad coverage of common constructions in practical dialog and producing semantic representations suitable for dialog processing across domains. Our system bootstraps dialog system development in new domains and helps build parsed corpora.