Stacked Dependency Networks for Layout Document Structuring
dc.creator | Chidlovskii,Boris | |
dc.creator | Lecerf,Loïc | |
dc.date | 2008 | |
dc.date.accessioned | 2024-02-06T12:57:11Z | |
dc.date.available | 2024-02-06T12:57:11Z | |
dc.description | We address the problems of structuring and annotation of layout-oriented documents.We model the annotation problems as the collective classification on graph-like structures with typed instances and links that capture the domain-specific knowledge. We use the relational de-pendency networks (RDNs) for the collective inference on the multi-typed graphs. We then describe a variant of RDNs where a stacked approximation replaces the Gibbs sampling in orderto accelerate the inference. We report results of evaluation tests for both the Gibbs sampling and stacking inference on two document structuring examples. | |
dc.format | text/html | |
dc.identifier | https://doi.org/10.3217/jucs-014-18-2998 | |
dc.identifier | https://lib.jucs.org/article/29210/ | |
dc.identifier.uri | https://openrepository.mephi.ru/handle/123456789/9934 | |
dc.language | en | |
dc.publisher | Journal of Universal Computer Science | |
dc.relation | info:eu-repo/semantics/altIdentifier/eissn/0948-6968 | |
dc.relation | info:eu-repo/semantics/altIdentifier/pissn/0948-695X | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights | J.UCS License | |
dc.source | JUCS - Journal of Universal Computer Science 14(18): 2998-3010 | |
dc.subject | document structuring | |
dc.subject | dependency networks | |
dc.subject | stacking | |
dc.title | Stacked Dependency Networks for Layout Document Structuring | |
dc.type | Research Article |