TimeBank (Pustejovsky et al, 2003a), a reference for TimeML (Pustejovsky et al, 2003b) compliant annotation, is widely used temporally annotated corpus in the community. It captures time expressions, events, and relations between events and event and temporal expression; but there is room for improvements in this hand-annotated widely used TimeBank corpus. This work is one such effort to extend...

References to documents in the legal domain usually follow patterns containing temporal information in different forms (e.g. ’Directive 2001/29’). These references mislead algorithms detecting pure temporal references, and false positives occur in named entity recognition algorithms searching dates or intervals. This paper presents methods and techniques to identify these references, applied to...

We present a semantic tagging system for temporal expressions and discuss how the temporal information conveyed by these expressions can be extracted. The performance of the system was evaluated wrt. a small hand-annotated corpus of news messages.

Temporal resolution systems are traditionally tuned to a particular language, requiring significant human effort to translate them to new languages. We present a language independent semantic parser for learning the interpretation of temporal phrases given only a corpus of utterances and the times they reference. We make use of a latent parse that encodes a language-flexible representation of t...

EVALITA intends to promote the development of language technologies for Italian, providing a shared framework where different systems and approaches can be evaluated in a consistent manner. In this scenario, the Temporal Expression Recognition and Normalization task (TERN) encourages research on systems capable of automatically detect and normalize Temporal Expressions (TEs) present in Italian ...