Table-to-text generation aims to translate the structured data into the unstructured text. Most existing methods adopt the encoder-decoder framework to learn the transformation, which …
Automatic headline generation systems have the potential to assist editors in finding interesting headlines to attract visitors or readers. However, the performance of headline …
Review generation, aiming to automatically generate review text according to the given information, is proposed to assist in the unappealing review writing. However, most of …
H Härm, T Alumäe - Baltic Journal of Modern Computing, 2022 - bjmc.lu.lv
We present an approach for generating abstractive summaries for Estonian spoken news stories in a low-resource setting. Given a recording of a radio news story, the goal is to …
Millions of news articles published online daily can overwhelm readers. Headlines and entity (topic) tags are essential for guiding readers to decide if the content is worth their time …
We present a novel approach to generating news headlines in Finnish for a given news story. We model this as a summarization task where a model is given a news article, and its …
Headline generation is the process of generating headlines automatically from text articles. We model a comprehensive abstractive headline generation technique using Seq2Seq …
This study tackles the challenge of generating appropriate academic titles based on the paper's abstract. We approach this task as a high-level text summarization problem and …
The text in a typical privacy policy is organized into different topics, either implicitly or explicitly. Few policies with explicit visual organization split the text into various sections with …