KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction

Simone D’Amico, Lorenzo Malandri, Lorenzo Malandri, Fabio Mercorio, Fabio Mercorio, Mario Mezzanzanica, Mario Mezzanzanica

2023

Abstract

A research area of NLP is known as keyphrases extraction, which aims to identify words and expressions in a text that comprehensively represent the content of the text itself. In this study, we introduce a new approach called KRAKEN (Keyphrease extRAction maKing use of EmbeddiNgs). Our method takes advantage of widely used NLP techniques to extract keyphrases from a text in an unsupervised manner and we compare the results with well-known benchmark datasets in the literature. The main contribution of this work is developing a novel approach for keyphrase extraction. Both natural language text preprocessing techniques and distributional semantics techniques, such as word embeddings, are used to obtain a vector representation of the texts that maintains their semantic meaning. Through KRAKEN, we propose and design a new method that exploits word embedding for identifying keyphrases, considering the relationship among words in the text. To evaluate KRAKEN, we employ benchmark datasets and compare our approach with state-of-the-art methods. Another contribution of this work is the introduction of a metric to rank the identified keyphrases, considering the relatedness of both the words within the phrases and all the extracted phrases from the same text.

Paper Citation

in Harvard Style

D’Amico S., Malandri L., Mercorio F. and Mezzanzanica M. (2023). KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR; ISBN 978-989-758-671-2, SciTePress, pages 289-297. DOI: 10.5220/0012179500003598

in Bibtex Style

@conference{kdir23,
author={Simone D’Amico and Lorenzo Malandri and Fabio Mercorio and Mario Mezzanzanica},
title={KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR},
year={2023},
pages={289-297},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012179500003598},
isbn={978-989-758-671-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
TI - KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction
SN - 978-989-758-671-2
AU - D’Amico S.
AU - Malandri L.
AU - Mercorio F.
AU - Mezzanzanica M.
PY - 2023
SP - 289
EP - 297
DO - 10.5220/0012179500003598
PB - SciTePress