Optimizing the weighted sequence alignment algorithm for large-scale text similarity computation

Maciej Michal Janicki

Optimizing the weighted sequence alignment algorithm for large-scale text similarity computation

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Alkuperäiskieli	englanti
Otsikko	Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities
Toimittajat	Mika Hämäläinen, Khalid Alnajjar, Niko Partanen, Jack Rueter
Sivumäärä	5
Julkaisupaikka	Stroudsburg
Kustantaja	Association for Computational Linguistics (ACL)
Julkaisupäivä	20 marrask. 2022
Sivut	96-100
ISBN (elektroninen)	978-1-955917-75-9
Tila	Julkaistu - 20 marrask. 2022
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	International Workshop on Natural Language Processing for Digital Humanities - [Online event], Taipei, Taiwan Kesto: 20 marrask. 2022 → 20 marrask. 2022 Konferenssinumero: 2

Tieteenalat

6121 Kielitieteet
113 Tietojenkäsittely- ja informaatiotieteet

Pääsy asiakirjaan

2022.nlp4dh-1.13Lopullinen julkaistu versio, 209 KBLisenssi: CC BY

https://aclanthology.org/2022.nlp4dh-1.13/Lisenssi: CC BY

FILTER: Formulaic intertextuality, thematic networks and poetic variation across regional cultures of Finnic oral poetry (Academy of Finland research project no. 333138)
Kallio, K., Mäkelä, E., Janicki, M. M., Saarinen, J., Sarv, M. & Kanner, A.
01/09/2020 → 31/08/2024
Projekti: Tutkimusprojekti

Siteeraa tätä

Janicki, M. M. (2022). Optimizing the weighted sequence alignment algorithm for large-scale text similarity computation. teoksessa M. Hämäläinen, K. Alnajjar, N. Partanen, & J. Rueter (Toimittajat), Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities (Sivut 96-100). Association for Computational Linguistics (ACL). https://aclanthology.org/2022.nlp4dh-1.13/

Janicki, Maciej Michal. / Optimizing the weighted sequence alignment algorithm for large-scale text similarity computation. Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities. Toimittaja / Mika Hämäläinen ; Khalid Alnajjar ; Niko Partanen ; Jack Rueter. Stroudsburg : Association for Computational Linguistics (ACL), 2022. Sivut 96-100

@inproceedings{8cb19351dca84e40be20fd0d2cdc193c,

title = "Optimizing the weighted sequence alignment algorithm for large-scale text similarity computation",

keywords = "6121 Languages, 113 Computer and information sciences",

author = "Janicki, {Maciej Michal}",

year = "2022",

month = nov,

day = "20",

language = "English",

pages = "96--100",

editor = "Mika H{\"a}m{\"a}l{\"a}inen and Alnajjar, {Khalid } and Partanen, {Niko } and Rueter, {Jack }",

booktitle = "Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities",

publisher = "Association for Computational Linguistics (ACL)",

address = "United States",

note = "International Workshop on Natural Language Processing for Digital Humanities, NLP4DH 2021 ; Conference date: 20-11-2022 Through 20-11-2022",

}

Janicki, MM 2022, Optimizing the weighted sequence alignment algorithm for large-scale text similarity computation. julkaisussa M Hämäläinen, K Alnajjar, N Partanen & J Rueter (toim), Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities. Association for Computational Linguistics (ACL), Stroudsburg, Sivut 96-100, International Workshop on Natural Language Processing for Digital Humanities, Taipei, Taiwan, 20/11/2022. <https://aclanthology.org/2022.nlp4dh-1.13/>

Optimizing the weighted sequence alignment algorithm for large-scale text similarity computation. / Janicki, Maciej Michal.

Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities. toim. / Mika Hämäläinen; Khalid Alnajjar; Niko Partanen; Jack Rueter. Stroudsburg : Association for Computational Linguistics (ACL), 2022. s. 96-100.

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - Optimizing the weighted sequence alignment algorithm for large-scale text similarity computation

AU - Janicki, Maciej Michal

N1 - Conference code: 2

PY - 2022/11/20

Y1 - 2022/11/20

KW - 6121 Languages

KW - 113 Computer and information sciences

M3 - Conference contribution

SP - 96

EP - 100

BT - Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities

A2 - Hämäläinen, Mika

A2 - Alnajjar, Khalid

A2 - Partanen, Niko

A2 - Rueter, Jack

PB - Association for Computational Linguistics (ACL)

CY - Stroudsburg

T2 - International Workshop on Natural Language Processing for Digital Humanities

Y2 - 20 November 2022 through 20 November 2022

ER -

Optimizing the weighted sequence alignment algorithm for large-scale text similarity computation

Tieteenalat

Pääsy asiakirjaan

Projektit

FILTER: Formulaic intertextuality, thematic networks and poetic variation across regional cultures of Finnic oral poetry (Academy of Finland research project no. 333138)

Siteeraa tätä