d information grows, reading and summarizing texts of large
collections turns into a challenging task. Many documents do not come with descriptive terms,
thus requiring humans to generate keywords on-the-fly. The need to automate this kind of task
demands the development of keyword extraction systems with the ability to automatically
identify keywords within the text. One approach is to resort to machine-learning algorithms.
These, however, depend on large annotated text corpora, which are not always availa