Temporal expressions that refer to a part of a calendar area in terms of common calendar divisions are studied. Our claim is that such a “calendar expression" (CE) can be described by a succession of operators operating on a calendar base (CB). These operators are categorized: a pointing operator that transform a CB into a CE; a focalizing/shifting operator that reduces or shifts the CE into an...

We analyze the performance of SUTIME, a temporal tagger for recognizing and normalizing temporal expressions, on TempEval-3 Task A for English. SUTIME is available as part of the Stanford CoreNLP pipeline and can be used to annotate documents with temporal information. Testing on the TempEval-3 evaluation corpus showed that this system is competitive with state-of-the-art techniques.

In this paper we present a previously unexplored approach to recognizing the textual extent of temporal expressions. Based on the observation that temporal expressions are syntactic constituents, we use functional dependency relations between tokens in a sentence to determine which words in addition to a trigger word belong to the extent of the expression. This method is particularly attractive...

This paper describes in outline a method for translating Japanese temporal expressions into English. We argue that temporal expressions form a special subset of language that is best handled as a special module in machine translation. The paper deals with problems of lexical idiosyncrasy as well as the choice of articles and prepositions within temporal expressions. In addition temporal express...

The harnessing of time-related information from text for the use of event detection, for example, requires a leap from the surface forms of the expressions to a formalized time-axis. We present a methodology for extraction of Finnish temporal expressions and a scheme of comparing the temporal evidence of the news documents. We employ the comparison in identifying news events.

A new architecture for identifying and interpreting temporal expressions is introduced, in which the large set of complex hand-crafted rules standard in systems for this task is replaced by a series of machine learned classifiers and a much smaller set of context-independent semantic composition rules. Experiments with the TERN 2004 data set demonstrate that overall system performance is compar...

In this paper, we present a methodology for the extraction of formulaic expressions, which goes beyond the mere extraction of candidate patterns. Using a pipeline we are able to extract information about the usage of formulaic expressions automatically from text corpora. According to Biber and Barbieri (2007) formulaic expressions are “important building blocks of discourse in spoken and writte...

This paper describes two sets of crowdsourcing experiments on temporal information annotation conducted on two languages, i.e., English and Italian. The first experiment, launched on the CrowdFlower platform, was aimed at classifying temporal relations given target entities. The second one, relying on the CrowdTruth metric, consisted in two subtasks: one devoted to the recognition of events and...