Diachronic Variation of Temporal Expressions in Scientific Writing Through the Lens of Relative Entropy

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.This work is partially funded by Deutsche Forschungsgemeinschaft (DFG) under grant SFB 1102: Information Density and Linguistic Encoding (www.sfb1102.uni-saarland.de)

Diachronic Variation of Temporal Expressions in Scientific Writing through the Lens of Relative Entropy

En el presente trabajo presentaré un sencillo modelo dinámico de equilibrio general, por medio del cual analizaré la existencia de una solución de equilibrio competitivo. El primer paso consistirá en hallar una solución a semejanza del caso estático, en la que la tasa de interés coincidirá con la de crecimiento. Al analizarse este caso con detenimiento se verá que tal solución no podrá presentarse en la realidad, pues habrá activos o pasivos sin titulares. (Párrafo extraído del texto a modo de resumen)Instituto de Investigaciones Económica