A Review of Keyphrase Extraction

05/13/2019
by   Eirini Papagiannopoulou, et al.
0

Automated keyphrase extraction is a crucial textual information processing task regarding the most types of digital content management systems. It concerns the selection of representative and characteristic phrases from a document that express all aspects related to its content. This article introduces the task of keyphrase extraction and provides a view of existing work that is well organized and comprehensive. Moreover, it discusses the different evaluation approaches giving meaningful insights and highlighting open issues. Finally, a comparative experimental study for popular unsupervised techniques on five datasets is presented.

READ FULL TEXT
research
10/20/2017

Local Word Vectors Guiding Keyphrase Extraction

Automated keyphrase extraction is a fundamental textual information proc...
research
05/19/2020

GLEAKE: Global and Local Embedding Automatic Keyphrase Extraction

Automated methods for granular categorization of large corpora of text d...
research
06/15/2021

Image Feature Information Extraction for Interest Point Detection: A Comprehensive Review

Interest point detection is one of the most fundamental and critical pro...
research
07/07/2022

A Comprehensive Review on Digital Image Watermarking

The advent of the Internet led to the easy availability of digital data ...
research
08/18/2022

Open Information Extraction from 2007 to 2022 – A Survey

Open information extraction is an important NLP task that targets extrac...
research
11/07/2016

Keyphrase Annotation with Graph Co-Ranking

Keyphrase annotation is the task of identifying textual units that repre...
research
11/26/2019

A Measure of Similarity in Textual Data Using Spearman's Rank Correlation Coefficient

In the last decade, many diverse advances have occurred in the field of ...

Please sign up or login with your details

Forgot password? Click here to reset