Shallow Semantic Parsing for Spoken Language Understanding

@inproceedings{Coppola2009ShallowSP,
  title={Shallow Semantic Parsing for Spoken Language Understanding},
  author={Bonaventura Coppola and Alessandro Moschitti and Giuseppe Riccardi},
  booktitle={HLT-NAACL},
  year={2009}
}
Most Spoken Dialog Systems are based on speech grammars and frame/slot semantics. The semantic descriptions of input utterances are usually defined ad-hoc with no ability to generalize beyond the target application domain or to learn from annotated corpora. The approach we propose in this paper exploits machine learning of frame semantics, borrowing its theoretical model from computational linguistics. While traditional automatic Semantic Role Labeling approaches on written texts may not… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 11 references

Support Vector Learning for Semantic Argument Classification

Machine Learning • 2005
View 5 Excerpts
Highly Influenced

Generalized Framework for Syntax-Based Relation Mining

2008 Eighth IEEE International Conference on Data Mining • 2008
View 1 Excerpt

Shalmaneser - a flexible toolbox for semantic role assignment

Katrin Erk, Sebastian Pado.
Proceedings of LREC 2006, Genoa, Italy. • 2006
View 2 Excerpts

Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling

Xavier Carreras, Lluı́s Màrquez
In Proceedings of CoNLL-2005 • 2005
View 2 Excerpts

Automatic Labeling of Semantic Roles

Computational Linguistics • 2000
View 3 Excerpts

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