While automatic keyphrase extraction has been examined extensively, state-of-theart
performance on this task is still much lower than that on many core natural language …

Keyphrase extraction is a textual information processing task concerned with the automatic
extraction of representative and characteristic phrases from a document that express all the …

As the amount of generated information grows, reading and summarizing texts of large
collections turns into a challenging task. Many documents do not come with descriptive …

Automatic keyword extraction is an important research direction in text mining, natural
language processing and information retrieval. Keyword extraction enables us to represent …

Keyphrase provides highly-condensed information that can be effectively used for
understanding, organizing and retrieving text content. Though previous studies have …

Text classification is the task of assigning predefined categories to natural language
documents, and it can provide conceptual views of document collections. The Naïve Bayes …

As one of the fundamental tasks in text analysis, phrase mining aims at extracting quality
phrases from a text corpus and has various downstream applications including information …

In this paper, we present YAKE!, a novel feature-based system for multi-lingual keyword
extraction from single documents, which supports texts of different sizes, domains or …

In this paper, we address the keyphrase extraction problem as sequence labeling and
propose a model that jointly exploits the complementary strengths of Conditional Random …

Keyphrase extraction is the task of iden-tifying single or multi-word expressions that
represent the main topics of a doc-ument. In this paper we present TopicRank, a graph …