Title
Diachronic Variation of Temporal Expressions in Scientific Writing Through the Lens of Relative Entropy.
Abstract
The abundance of temporal information in documents has lead to an increased interest in processing such information in the NLP community by considering temporal expressions. Besides domain-adaptation, acquiring knowledge on variation of temporal expressions according to time is relevant for improvement in automatic processing. So far, frequency-based accounts dominate in the investigation of specific temporal expressions. We present an approach to investigate diachronic changes of temporal expressions based on relative entropy - with the advantage of using conditioned probabilities rather than mere frequency. While we focus on scientific writing, our approach is generalizable to other domains and interesting not only in the field of NLP, but also in humanities.
Year
DOI
Venue
2017
10.1007/978-3-319-73706-5_22
Lecture Notes in Artificial Intelligence
DocType
Volume
ISSN
Conference
10713
0302-9743
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Stefania Degaetano-Ortlieb175.86
Jannik Strötgen249238.20