k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text

Amna Dridi; Mohamed Medhat Gaber; R. Muhammad Atif Azad; Jagdev Bhogal

doi:10.1007/978-3-030-01771-2_21

k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text

Amna Dridi^*, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal

^*Corresponding author for this work

Birmingham City University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Citations (SciVal)

Original language	English
Title of host publication	Discovery Science - 21st International Conference, DS 2018, Proceedings
Editors	Michelangelo Ceci, Larisa Soldatova, Joaquin Vanschoren, George Papadopoulos
Publisher	Springer Verlag
Pages	328-343
Number of pages	16
ISBN (Print)	9783030017705
DOIs	https://doi.org/10.1007/978-3-030-01771-2_21
Publication status	Published (VoR) - 2018
Event	21st International Conference on Discovery Science, DS 2018 - Limassol, Cyprus Duration: 29 Oct 2018 → 31 Oct 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11198 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st International Conference on Discovery Science, DS 2018
Country/Territory	Cyprus
City	Limassol
Period	29/10/18 → 31/10/18

Keywords

ACM hierarchy
Hyper-parameters
NIPS
Skip-gram
Wikipedia outline
Word embedding
Word2vec
k-NN stability

Access to Document

10.1007/978-3-030-01771-2_21

Cite this

Dridi, A., Gaber, M. M., Azad, R. M. A., & Bhogal, J. (2018). k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text. In M. Ceci, L. Soldatova, J. Vanschoren, & G. Papadopoulos (Eds.), Discovery Science - 21st International Conference, DS 2018, Proceedings (pp. 328-343). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11198 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-01771-2_21

Dridi, Amna ; Gaber, Mohamed Medhat ; Azad, R. Muhammad Atif et al. / k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text. Discovery Science - 21st International Conference, DS 2018, Proceedings. editor / Michelangelo Ceci ; Larisa Soldatova ; Joaquin Vanschoren ; George Papadopoulos. Springer Verlag, 2018. pp. 328-343 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{36fdc23b8aea497097620049efcbe50e,

title = "k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text",

keywords = "ACM hierarchy, Hyper-parameters, NIPS, Skip-gram, Wikipedia outline, Word embedding, Word2vec, k-NN stability",

author = "Amna Dridi and Gaber, {Mohamed Medhat} and Azad, {R. Muhammad Atif} and Jagdev Bhogal",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 21st International Conference on Discovery Science, DS 2018 ; Conference date: 29-10-2018 Through 31-10-2018",

year = "2018",

doi = "10.1007/978-3-030-01771-2_21",

language = "English",

isbn = "9783030017705",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "328--343",

editor = "Michelangelo Ceci and Larisa Soldatova and Joaquin Vanschoren and George Papadopoulos",

booktitle = "Discovery Science - 21st International Conference, DS 2018, Proceedings",

}

Dridi, A, Gaber, MM, Azad, RMA & Bhogal, J 2018, k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text. in M Ceci, L Soldatova, J Vanschoren & G Papadopoulos (eds), Discovery Science - 21st International Conference, DS 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11198 LNAI, Springer Verlag, pp. 328-343, 21st International Conference on Discovery Science, DS 2018, Limassol, Cyprus, 29/10/18. https://doi.org/10.1007/978-3-030-01771-2_21

k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text. / Dridi, Amna; Gaber, Mohamed Medhat; Azad, R. Muhammad Atif et al.
Discovery Science - 21st International Conference, DS 2018, Proceedings. ed. / Michelangelo Ceci; Larisa Soldatova; Joaquin Vanschoren; George Papadopoulos. Springer Verlag, 2018. p. 328-343 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11198 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text

AU - Dridi, Amna

AU - Gaber, Mohamed Medhat

AU - Azad, R. Muhammad Atif

AU - Bhogal, Jagdev

PY - 2018

Y1 - 2018

KW - ACM hierarchy

KW - Hyper-parameters

KW - NIPS

KW - Skip-gram

KW - Wikipedia outline

KW - Word embedding

KW - Word2vec

KW - k-NN stability

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U2 - 10.1007/978-3-030-01771-2_21

DO - 10.1007/978-3-030-01771-2_21

M3 - Conference contribution

AN - SCOPUS:85055787959

SN - 9783030017705

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 328

EP - 343

BT - Discovery Science - 21st International Conference, DS 2018, Proceedings

A2 - Ceci, Michelangelo

A2 - Soldatova, Larisa

A2 - Vanschoren, Joaquin

A2 - Papadopoulos, George

PB - Springer Verlag

T2 - 21st International Conference on Discovery Science, DS 2018

Y2 - 29 October 2018 through 31 October 2018

ER -

Dridi A, Gaber MM, Azad RMA , Bhogal J. k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text. In Ceci M, Soldatova L, Vanschoren J, Papadopoulos G, editors, Discovery Science - 21st International Conference, DS 2018, Proceedings. Springer Verlag. 2018. p. 328-343. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-01771-2_21

k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text

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