Time series is an important class of temporal data objects and it can be easily obtained from
scientific and financial applications. A time series is a collection of observations made …

One of the main challenges in automatically generating textual weather forecasts is
choosing appropriate English words to communicate numeric weather data. A corpus-based …

Data-to-text systems are Natural Language Generation (NLG) systems which generate texts
from noninguistic inpūt data, such as sensordātā ānd event logs. Such systems need to …

Numerical weather prediction (NWP) models produce time series data of basic weather
parameters which human forecasters use as guidance while writing textual forecasts. Our …

Interpretability is acknowledged as the main advantage of fuzzy systems and it should be
given a main role in fuzzy modeling. Classical systems are viewed as black boxes because …

Database searches are usually performed with query languages and form fill in templates,
with results displayed in tabular lists. However, excitement is building around dynamic …

This paper explores the current state of the task of generating easily understandable
information from data for people using natural language, which is currently addressed by …

Abstract Concept-to-text generation refers to the task of automatically producing textual
output from non-linguistic input. We present a joint model that captures content selection (" …

In this paper we provide a general approach for the concepts and processes related to the
generation of linguistic descriptions of time series. As we will see, this approach consists of …

We present a new method for the understandable description of local temporal relationships
in multivariate data, called Time Series Knowledge Mining (TSKM). We define the Time …