Although neural table-to-text models have achieved remarkable progress with the help of
large-scale datasets, they suffer insufficient learning problem with limited training data …

Recent neural text generation models have shown significant improvement in generating
descriptive text from structured data such as table formats. One of the remaining important …

Although Seq2Seq models for table-to-text generation have achieved remarkable progress,
modeling table representation in one dimension is inadequate. This is because (1) the table …

Recent neural models for data-to-text generation are mostly based on data-driven end-to-
end training over encoder-decoder networks. Even though the generated texts are mostly …

We propose a data-to-text generation model with two modules, one for tracking and the
other for text generation. Our tracking module selects and keeps track of salient information …

In this paper, we attempt to answer the question of whether neural network models can learn
numeracy, which is the ability to predict the magnitude of a numeral at some specific position …

Although remarkable progress on the neural table-to-text methods has been made, the
generalization issues hinder the applicability of these models due to the limited source …

Numerals that contain much information in financial documents are crucial for financial
decision making. They play different roles in financial analysis processes. This paper is …

Emotion intelligence plays an important role in building a successful human–machine
dialogue system. However, the extreme difficulty of capturing emotional information of social …

Financial Technology (FinTech) is one of the worldwide rapidly-rising topics in the past five
years according to the statistics of FinTech from Google Trends. In this position paper, we …