GUM is an open source multilayer English corpus of richly annotated texts from twelve text types. Annotations include:
8 PAPERS • 1 BENCHMARK
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.
6 PAPERS • 2 BENCHMARKS
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.
3 PAPERS • 1 BENCHMARK