Automated question generation is a task to generate questions from structured or
unstructured data. The increasing popularity of online learning in recent years has given …

This paper presents an unsupervised approach for keyword extraction from a document.
Summarizing a research paper is not an easy task, it is time-consuming. For making …

With the increasing amount of text data in applications, the task of keyphrase extraction
receives more attention that aims to extract concise and important information from a …

A lot of manual work goes into identifying a topic for an article. With a large volume of
articles, the manual process can be exhausting. Our approach aims to address this issue by …

The significance of agriculture in India and the amount of damage to the sector due to plant
diseases, calls for a system which can identify plant diseases accurately. Improper …

The research document corpses grow with more and more publication in the various field of
research. Keywords play an important role in grouping these documents and making it …

Learning systems for higher education have improved significantly in the past decade. A
central research topic is how to stimulate learning and improve the quality of questions for …

各类应用领域的文本数据日益增多, 如何从这些海量数据中迅速准确地提取核心内容,
已成为关键词抽取的主要任务. 提出一种基于词和文档嵌入的关键词抽取方法 …

This paper presents an unsupervised approach for extracting keywords from documents and
tagging of research documents with the help of extracted keywords. Keywords are useful for …

Keyphrases are important phrases that represent the theme of a document. With the help of
keyphrases people can quickly find useful information from massive data. Traditional statistic …