Temporal@ODIL Project: Adapting ISO-TimeML to Syntactic Treebanks for the Temporal Annotation of Spoken Speech

meeting of the association for computational linguistics(2017)

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摘要
This paper presents Temporal@ODIL, a project that aims at building the largest corpus annotated with temporal information on spoken French. The annotation is based on an adaptation of the ISO-TimeML standard that consists in grounding the annotation on a treebank and not on raw text.
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关键词
temporal@odil annotation,syntactic treebanks,spoken speech,iso-timeml
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