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 …

Due to the considerable growth of the volume of text documents on the Internet and in digital
libraries, manual analysis of these documents is no longer feasible. Having efficient …

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

This paper describes the organization and results of the automatic keyphrase extraction task
held at the Workshop on Semantic Evaluation 2010 (SemEval-2010). The keyphrase …

In this paper we present a survey of various techniques available in text mining for keyword
and keyphrase extraction. Keywords and keyphrases are very useful in analyzing large …

Sažetak The paper surveys methods and approaches for the task of keyword extraction. The
systematic review of methods was gathered which resulted in a comprehensive review of …

Existing methods for single document keyphrase extraction usually make use of only the
information contained in the specified document. This paper proposes to use a small …

We present a keyphrase extraction algorithm for scientific publications. Different from
previous work, we introduce features that capture the positions of phrases in document with …

This paper connects two research areas: automatic tagging on the web and statistical
keyphrase extraction. First, we analyze the quality of tags in a collaboratively created …

Abstract With Linked Data, a very pragmatic approach towards achieving the vision of the
Semantic Web has gained some traction in the last years. The term Linked Data refers to a …