TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language

Quan Duong; Mika Hämäläinen; Khalid Alnajjar

TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language

Quan Duong, Mika Hämäläinen, Khalid Alnajjar

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

Original language	English
Title of host publication	Proceedings of the Workshop on Natural Language Processing for Digital Humanities
Editors	Mika Hämäläinen, Khalid Alnajjar, Niko Partanen, Jack Rueter
Number of pages	10
Place of Publication	Stroudsburg
Publisher	The Association for Computational Linguistics
Publication date	2021
Pages	163-172
ISBN (Electronic)	978-952-94-5833-2
Publication status	Published - 2021
MoE publication type	A4 Article in conference proceedings
Event	Workshop on Natural Language Processing for Digital Humanities - [Online event], Silchar, India Duration: 19 Dec 2021 → 19 Dec 2021 https://rootroo.com/en/nlp4dh-workshop/

Fields of Science

113 Computer and information sciences
6121 Languages

Access to Document

2021.nlp4dh-1.19Final published version, 378 KB

Cite this

Duong, Quan ; Hämäläinen, Mika ; Alnajjar, Khalid. / TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language. Proceedings of the Workshop on Natural Language Processing for Digital Humanities . editor / Mika Hämäläinen ; Khalid Alnajjar ; Niko Partanen ; Jack Rueter. Stroudsburg : The Association for Computational Linguistics, 2021. pp. 163-172

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booktitle = "Proceedings of the Workshop on Natural Language Processing for Digital Humanities",

publisher = "The Association for Computational Linguistics",

address = "United States",

note = "Workshop on Natural Language Processing for Digital Humanities, NLP4DH ; Conference date: 19-12-2021 Through 19-12-2021",

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Duong, Q, Hämäläinen, M & Alnajjar, K 2021, TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language. in M Hämäläinen, K Alnajjar, N Partanen & J Rueter (eds), Proceedings of the Workshop on Natural Language Processing for Digital Humanities . The Association for Computational Linguistics, Stroudsburg, pp. 163-172, Workshop on Natural Language Processing for Digital Humanities, Silchar, India, 19/12/2021.

TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language. / Duong, Quan; Hämäläinen, Mika; Alnajjar, Khalid.
Proceedings of the Workshop on Natural Language Processing for Digital Humanities . ed. / Mika Hämäläinen; Khalid Alnajjar; Niko Partanen; Jack Rueter. Stroudsburg: The Association for Computational Linguistics, 2021. p. 163-172.

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

TY - GEN

T1 - TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language

AU - Duong, Quan

AU - Hämäläinen, Mika

AU - Alnajjar, Khalid

PY - 2021

Y1 - 2021

KW - 113 Computer and information sciences

KW - 6121 Languages

M3 - Conference contribution

SP - 163

EP - 172

BT - Proceedings of the Workshop on Natural Language Processing for Digital Humanities

A2 - Hämäläinen, Mika

A2 - Alnajjar, Khalid

A2 - Partanen, Niko

A2 - Rueter, Jack

PB - The Association for Computational Linguistics

CY - Stroudsburg

T2 - Workshop on Natural Language Processing for Digital Humanities

Y2 - 19 December 2021 through 19 December 2021

ER -