LREC 2000 - Papers

LREC 2000 2^nd International Conference on Language Resources & Evaluation

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Title FAST - Towards a Semi-automatic Annotation of Corpora

Authors Barbu Catalina (School of Humanities, Languages and Social Sciences, University of Wolverhampton, Stafford Road, Wolverhampton, UK, in6465@wlv.ac.uk)

Keywords Annotation tool, Corpus, Corpus Annotation

Session Session WP2 - Corpus Annotation

Abstract As the use of annotated corpora in natural language processing applications increases, we are aware of the necessity of having flexible annotation tools that would not only support the manual annotation, but also enable us to perform post-editing on a text which has already been automatically annotated using a separate processing tool and even to interact with the tool during the annotation process. In practice, we have been confronted with the problem of converting the output of different tools to SGML format, while preserving the previous annotation, as well as with the difficulty of post-editing manually an annotated text. It has occurred to us that designing an interface between an annotation tool and any automatic tool would not only provide an easy way of taking advantage of the automatic annotation but it would also allow an easier interactive manual editing of the results. FAST was designed as a manual tagger that can also be used in conjunction with automatic tools for speeding up the human annotation.

Title	FAST - Towards a Semi-automatic Annotation of Corpora
Authors	Barbu Catalina (School of Humanities, Languages and Social Sciences, University of Wolverhampton, Stafford Road, Wolverhampton, UK, in6465@wlv.ac.uk)
Keywords	Annotation tool, Corpus, Corpus Annotation
Session	Session WP2 - Corpus Annotation
Abstract	As the use of annotated corpora in natural language processing applications increases, we are aware of the necessity of having flexible annotation tools that would not only support the manual annotation, but also enable us to perform post-editing on a text which has already been automatically annotated using a separate processing tool and even to interact with the tool during the annotation process. In practice, we have been confronted with the problem of converting the output of different tools to SGML format, while preserving the previous annotation, as well as with the difficulty of post-editing manually an annotated text. It has occurred to us that designing an interface between an annotation tool and any automatic tool would not only provide an easy way of taking advantage of the automatic annotation but it would also allow an easier interactive manual editing of the results. FAST was designed as a manual tagger that can also be used in conjunction with automatic tools for speeding up the human annotation.