A two-level keyphrase extraction approach

C.B. Ali; Rui Wang; H. Haddad

doi:10.1007/978-3-319-18117-2_29

A two-level keyphrase extraction approach

C.B. Ali, Rui Wang, H. Haddad

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

9 Citations (Scopus)

Abstract

© Springer International Publishing Switzerland 2015. In this paper, we present a new two-level approach to extract KeyPhrases from textual documents. Our approach relies on a linguistic analysis to extract candidate KeyPhrases and a statistical analysis to rank and filter the final KeyPhrases. We evaluated our approach on three publicly available corpora with documents of varying lengths, domains and languages including English and French. We obtained improvement of Precision, Recall and F-measure. Our results indicate that our approach is independent of the length, the domain and the language.

Original language	English
Title of host publication	Computational Linguistics and Intelligent Text Processing
Editors	Alexander Gelbukh
Publisher	Springer
Pages	390-401
Volume	2
ISBN (Electronic)	9783319181172
ISBN (Print)	9783319181165
DOIs	https://doi.org/10.1007/978-3-319-18117-2_29
Publication status	Published - 2015
Event	16th International Conference on Intelligent Text Processing and Computational Linguistics: Computational Linguistics and Intelligent Text Processing - Cairo, Egypt Duration: 14 Apr 2015 → 20 Apr 2015 Conference number: 16

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9042

Name	Theoretical Computer Science and General Issues
Publisher	Springer

Conference

Conference	16th International Conference on Intelligent Text Processing and Computational Linguistics
Abbreviated title	CICLing 2015
Country/Territory	Egypt
City	Cairo
Period	14/04/15 → 20/04/15

Access to Document

10.1007/978-3-319-18117-2_29

Cite this

@inproceedings{0fafe35e747c48aaa731893a02913bd7,

title = "A two-level keyphrase extraction approach",

abstract = "{\textcopyright} Springer International Publishing Switzerland 2015. In this paper, we present a new two-level approach to extract KeyPhrases from textual documents. Our approach relies on a linguistic analysis to extract candidate KeyPhrases and a statistical analysis to rank and filter the final KeyPhrases. We evaluated our approach on three publicly available corpora with documents of varying lengths, domains and languages including English and French. We obtained improvement of Precision, Recall and F-measure. Our results indicate that our approach is independent of the length, the domain and the language.",

author = "C.B. Ali and Rui Wang and H. Haddad",

year = "2015",

doi = "10.1007/978-3-319-18117-2_29",

language = "English",

isbn = "9783319181165",

volume = "2",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "390--401",

editor = "Alexander Gelbukh",

booktitle = "Computational Linguistics and Intelligent Text Processing",

address = "Netherlands",

note = "16th International Conference on Intelligent Text Processing and Computational Linguistics : Computational Linguistics and Intelligent Text Processing, CICLing 2015 ; Conference date: 14-04-2015 Through 20-04-2015",

}

Ali, CB, Wang, R & Haddad, H 2015, A two-level keyphrase extraction approach. in A Gelbukh (ed.), Computational Linguistics and Intelligent Text Processing. vol. 2, Lecture Notes in Computer Science, vol. 9042, Theoretical Computer Science and General Issues, Springer, pp. 390-401, 16th International Conference on Intelligent Text Processing and Computational Linguistics, Cairo, Egypt, 14/04/15. https://doi.org/10.1007/978-3-319-18117-2_29

A two-level keyphrase extraction approach. / Ali, C.B.; Wang, Rui; Haddad, H.
Computational Linguistics and Intelligent Text Processing. ed. / Alexander Gelbukh. Vol. 2 Springer, 2015. p. 390-401 (Lecture Notes in Computer Science; Vol. 9042), (Theoretical Computer Science and General Issues).

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

TY - GEN

T1 - A two-level keyphrase extraction approach

AU - Ali, C.B.

AU - Wang, Rui

AU - Haddad, H.

N1 - Conference code: 16

PY - 2015

Y1 - 2015

N2 - © Springer International Publishing Switzerland 2015. In this paper, we present a new two-level approach to extract KeyPhrases from textual documents. Our approach relies on a linguistic analysis to extract candidate KeyPhrases and a statistical analysis to rank and filter the final KeyPhrases. We evaluated our approach on three publicly available corpora with documents of varying lengths, domains and languages including English and French. We obtained improvement of Precision, Recall and F-measure. Our results indicate that our approach is independent of the length, the domain and the language.

AB - © Springer International Publishing Switzerland 2015. In this paper, we present a new two-level approach to extract KeyPhrases from textual documents. Our approach relies on a linguistic analysis to extract candidate KeyPhrases and a statistical analysis to rank and filter the final KeyPhrases. We evaluated our approach on three publicly available corpora with documents of varying lengths, domains and languages including English and French. We obtained improvement of Precision, Recall and F-measure. Our results indicate that our approach is independent of the length, the domain and the language.

U2 - 10.1007/978-3-319-18117-2_29

DO - 10.1007/978-3-319-18117-2_29

M3 - Conference paper

SN - 9783319181165

VL - 2

T3 - Lecture Notes in Computer Science

SP - 390

EP - 401

BT - Computational Linguistics and Intelligent Text Processing

A2 - Gelbukh, Alexander

PB - Springer

T2 - 16th International Conference on Intelligent Text Processing and Computational Linguistics

Y2 - 14 April 2015 through 20 April 2015

ER -

A two-level keyphrase extraction approach

Abstract

Publication series

Conference

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