International audienceThe semantic annotation of dialogue corpora permits building efficient language understanding applications for supporting enjoyable and effective human-machine interactions. Nevertheless, the annotation process could be costly, time-consuming and complicated, particularly the more expressive is the semantic formalism. In this work, we propose a bootstrapping architecture for the semantic annotation of dialogue corpora with rich structures, based on Dependency Syntax and Frame Semantics
We are interested in extracting semantic structures from spoken utterances gener-ated within convers...
International audienceThis work proposes a generative model to infer latent semantic structures on t...
Richly annotated dialogue corpora are essential for new research directions in statistical learning ...
The semantic annotation of dialogue corpora permits building efficient language understanding applic...
International audienceWhat would be a good method to provide a large collection of semantically anno...
The paper presents a project aiming at collecting, annotating and exploiting a dialogue corpus from ...
International audienceThis paper introduces a knowledge representation formalism used for annotation...
International audienceThis paper presents an approach to dialogue understanding based on a deep pars...
The paper presents a project aiming at collecting, annotating and exploiting a dialogue corpus from ...
Richly annotated dialogue corpora are essential for new research directions in statistical learning ...
Richly annotated dialogue corpora are essential for new research directions in statistical learning ...
International audienceThis paper describes an ISO project which aims at developing a standard for an...
International audienceData-driven approaches in computational semantics are not common because there...
The MultiModal Interface Language formalism (MMIL) has been selected as the High Level Semantic (HLS...
Schlangen D, Lascarides A, Baldridge J. A Tool for Semi-Automatic and Interactive Annotation of Dial...
We are interested in extracting semantic structures from spoken utterances gener-ated within convers...
International audienceThis work proposes a generative model to infer latent semantic structures on t...
Richly annotated dialogue corpora are essential for new research directions in statistical learning ...
The semantic annotation of dialogue corpora permits building efficient language understanding applic...
International audienceWhat would be a good method to provide a large collection of semantically anno...
The paper presents a project aiming at collecting, annotating and exploiting a dialogue corpus from ...
International audienceThis paper introduces a knowledge representation formalism used for annotation...
International audienceThis paper presents an approach to dialogue understanding based on a deep pars...
The paper presents a project aiming at collecting, annotating and exploiting a dialogue corpus from ...
Richly annotated dialogue corpora are essential for new research directions in statistical learning ...
Richly annotated dialogue corpora are essential for new research directions in statistical learning ...
International audienceThis paper describes an ISO project which aims at developing a standard for an...
International audienceData-driven approaches in computational semantics are not common because there...
The MultiModal Interface Language formalism (MMIL) has been selected as the High Level Semantic (HLS...
Schlangen D, Lascarides A, Baldridge J. A Tool for Semi-Automatic and Interactive Annotation of Dial...
We are interested in extracting semantic structures from spoken utterances gener-ated within convers...
International audienceThis work proposes a generative model to infer latent semantic structures on t...
Richly annotated dialogue corpora are essential for new research directions in statistical learning ...