Temporal expression normalisation is the grounding of a lexicalisation of a time to a calendar date or other formal temporal representation.
Example:
10/18/2000 21:01:00.65
Dozens of Palestinians were wounded in scattered clashes in the West Bank and Gaza Strip, Wednesday, despite the Sharm el-Sheikh truce accord.
Chuck Rich reports on entertainment every Saturday
GUM is an open source multilayer English corpus of richly annotated texts from twelve text types. Annotations include: * Multiple POS tags, morphological features and lemmatization * Sentence segmentation and rough speech act * Document structure in TEI XML (paragraphs, headings, figures, etc.) * ISO date/time annotations * Speaker and addressee information (where relevant) * Constituent and dependency syntax * Information status (given, accessible, new, split antecedent) * Entity and coreference annotation, including bridging anaphora * Entity linking (Wikification) * Discourse parses in Rhetorical Structure Theory and discourse dependencies
Enriches the TimeML annotations of TimeBank by adding information about the Topic Time in terms of Klein (1994). The annotations are partly automatic, partly inferential and partly manual. The corpus was converted into the native format of the annotation software GraphAnno and POS-tagged using the Stanford bidirectional dependency network tagger. Source: Enriching TimeBank: Towards a more precise annotation of temporal relations in a text
The Parsing Time Normalizations (PNT) corpus in SCATE format allows the representation of a wider variety of time expressions than previous approaches. This corpus was release with SemEval 2018 Task 6. Source: NLP Progress