Search Results for author: Emanuele Lapponi

Found 6 papers, 0 papers with code

Representation and Interchange of Linguistic Annotation. An In-Depth, Side-by-Side Comparison of Three Designs

no code implementations WS 2017 Richard Eckart de Castilho, Nancy Ide, Emanuele Lapponi, Stephan Oepen, Keith Suderman, Erik Velldal, Marc Verhagen

We expect that a more in-depth understanding of these choices across designs may led to increased harmonization, or at least to more informed design of future representations.

Off-Road LAF: Encoding and Processing Annotations in NLP Workflows

no code implementations LREC 2014 Emanuele Lapponi, Erik Velldal, Stephan Oepen, Rune Lain Knudsen

The Linguistic Annotation Framework (LAF) provides an abstract data model for specifying interchange representations to ensure interoperability among different annotation formats.

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