Text summarization is a process to produce an abstract or a summary by selecting significant portion of the information from one or more texts. In an automatic text summarization process, a text is given to the computer and the computer returns a shorter less redundant extract or abstract of the original text(s). Many techniques have been developed for summarizing English text(s). But, a very f...

In our research we have created a text summarization software tool for Hungarian using multilingual and BERT-based models. Two types of method exist: abstractive extractive. The is more similar to human generated summarization. Target summaries may include phrases that the original does not necessarily contain. This generates summarized by applying keywords were extracted from text. extractive ...

Abstract A person does not need to go through pages of articles for a given topic understand the gist; mere summary is more than sufficient in many cases. This has rise apps that crunch hundreds generate personalized feed summaries user can through. With and people having access internet, lots information being created shared online. gives us luxury it just click away from consumption. However,...

Abstract In our data-flooded age, an enormous amount of redundant, but also disparate textual data is collected on a daily basis wide variety topics. Much this information refers to documents related the same theme, that is, different versions document, or discussing topic. Being aware such differences turns out be important aspect for those who want perform comparative task. However, as increa...