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Using Transfer Learning to Assist Exploratory Corpus Annotation
| Content Provider | CiteSeerX |
|---|---|
| Author | Felt, Paul Ringger, Eric K. Heal, Kristian |
| Abstract | We describe an under-studied problem in language resource management: that of providing automatic assistance to annotators working in exploratory settings. When no satisfactory tagset already exists, such as in under-resourced or undocumented languages, it must be developed iteratively while annotating data. This process naturally gives rise to a sequence of datasets, each annotated differently. We argue that this problem is best regarded as a transfer learning problem with multiple source tasks. Using part-of-speech tagging data with simulated exploratory tagsets, we demonstrate that even simple transfer learning techniques can significantly improve the quality of pre-annotations in an exploratory annotation. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Transfer Learning Exploratory Corpus Annotation Satisfactory Tagset Simple Transfer Multiple Source Task Transfer Learning Problem Exploratory Annotation Language Resource Management Simulated Exploratory Tagsets Under-studied Problem Automatic Assistance Exploratory Setting Undocumented Language |
| Content Type | Text |
