Temporal expressions are words or phrases that describe a point, duration or recurrence in time. Automatically annotating these expressions is a research goal of increasing interest. Recognising them can be achieved with supervised machine learning, but interpreting them accurately (normalisation) is a complex task requiring human knowledge. In this paper, we present TIMEN, a community-driven t...

We see a temporal data warehouse as a set of temporal views defined in the past fragment of the temporal relational algebra extended with set-valued attributes and aggregation. This paper proposes an incremental maintenance method for temporal views that allows improvements over the re-computation from scratch. We introduce a formalism for temporal data warehouse specification that summarizes i...

Lois Childs discussed GE's efforts to extract temporal expressions from text through the identification of relevant patterns . The Shogun system used 37 patterns in English, and 7 for Japanese . Patterns wer e context dependent, and referenced a dateline in order to handle relative time . The patterns were able to perform temporal calculations, and the system computed a temporal structure from ...

In this article we present the result of the recent research in the recognition and normalisation of Polish temporal expressions. The temporal information extracted from the text plays major role in many information extraction systems, like question answering, event recognition or discourse analysis. We proposed a new method for the temporal expressions normalisation, called Cascade of Partial ...

Different types •Date: On May 22, 1995, Farkas was ... •Time: ... in Brownsville around 7:15 p.m. •Duration: He spent six days abroad ... •Set: ... for liver transplants each year ... Different occurrences in documents • explicit easy to normalize • implicit knowledge is needed • relative reference time is needed (& additional information) Annotation scheme •TimeML: ISO standard for temporal an...

This paper describes NCU IISR’s Japanese ICD-10 Code Linking system for NTCIR-11 MedNLP. Our system uses Conditional Random Fields (CRFs) to label ICD-10 mentions and temporal expressions. We also use CRFs to detect the modalities of the ICD-10 mentions. To resolve the problem of ICD-10 mention normalization, we use the Lucene engine to link mentions to the corresponding ICD-10 database entries...

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...