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.

This study investigated the common gratitude strategies in different situations, which permeated indebtedness as a way of shaping pre-service teachers' identity. Using 15-item Discourse Completion Test (DCT), 22 teachers Province Cavite, Philippines participated this study. An informal interview was conducted to validate gathered data from instrument used. The analysis done through use Cheng's ...

Given that children's exposure to gratitude-related activities may be one way that parents can socialize gratitude in their children, we examined whether parents' niche selection (i.e., tendency to choose perceived gratitude-inducing activities for their children) mediates the association between parents' reports of their own and their children's gratitude. Parent-child dyads (N =101; children ...

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...