Name
Abstract | ||
|---|---|---|
We present a system for the semantic annotation of layout-oriented documents, with an integrated learning component. We introduce probabilistic learning methods on tree-like documents and we present different active learning techniques for training document annotation models. We report some preliminary results of deploying such active learning techniques on an important case of document collection annotation. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1145/1166160.1166194 | ACM Symposium on Document Engineering |
Keywords | Field | DocType |
training document annotation model,layout-oriented document,integrated learning component,tree-like document,different active learning technique,important case,preliminary result,semantic annotation,document collection annotation,active learning technique,maximum entropy,active learning,col | Integrated learning,Active learning,Annotation,Temporal annotation,Semantic annotation,Information retrieval,Computer science,Image retrieval,Artificial intelligence,Natural language processing,Principle of maximum entropy,Probabilistic logic | Conference |
ISBN | Citations | PageRank |
1-59593-515-0 | 1 | 0.36 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Loïc Lecerf | 1 | 10 | 2.35 |
| Boris Chidlovskii | 2 | 411 | 52.58 |