Annotating the semantics of time in language is important. THYME (Styler et al., 2014) is a recent temporal annotation standard for clinical texts. This paper examines temporal expressions in the first major corpus released under this standard. It investigates where the standard has proven difficult to apply, and gives a series of recommendations regarding temporal annotation in this important ...

This paper discusses the translation of temporal expressions, in the framework of the machine translation system Rosetta. The translation method of Rosetta, the "isomorphic grammar method', is based on Montague's Compositionality Principle. It is shown that a compositional approach leads to a transparent account of the complex aspects of time in natural language and can be used for the translat...

We describe the TEMANTEX annotation scheme for temporal expressions and other lexical indicators of temporality and we analyze a first annotation experience. TEMANTEX is mainly a revision of the markup language TIMEX3, but with some additions and a different treatment for relative expressions. Our alternative proposal is justified for two reasons. First, our system aims to cover other temporali...

This paper presents the annotation guidelines and specifications which have been developed for the creation of the Italian TimeBank, a language resource composed of two corpora manually annotated with temporal and event information. In particular, the adaptation of the TimeML scheme to Italian is described, and a special attention is given to the methodology used for the realization of the anno...

In this paper, we describe our participation in the TempEval-3 challenge. With our multilingual temporal tagger HeidelTime, we addressed task A, the extraction and normalization of temporal expressions for English and Spanish. Exploiting HeidelTime’s strict separation between source code and languagedependent parts, we tuned HeidelTime’s existing English resources and developed new Spanish reso...

The NTCIR-9 GeoTime task is to retrieve documents to answer such questions as when and where certain events happened. In this paper we propose a Passage-Based Learning to Rank (PGLR) method to address this task. The proposed method recognizes texts both strongly related to the target topics and containing geographic and temporal expressions. The implemented system provides more accurate search ...

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...