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1
On the Role of Morphological Information for Contextual Lemmatization
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On the Role of Morphological Information for Contextual Lemmatization

Toporkov, Olia ; Agerri, Rodrigo

Computational linguistics - Association for Computational Linguistics, 2023-03, Vol.50 (1), p.1-35 [Periódico revisado por pares]

Cambridge: MIT Press Journals, The

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An improved Urdu stemming algorithm for text mining based on multi-step hybrid approach
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An improved Urdu stemming algorithm for text mining based on multi-step hybrid approach

Jabbar, Abdul ; Iqbal, Sajid ; Akhunzada, Adnan ; Abbas, Qaisar

Journal of experimental & theoretical artificial intelligence, 2018-01, Vol.30 (5), p.703-723 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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3
Predicting the customer’s opinion on amazon products using selective memory architecture-based convolutional neural network
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Predicting the customer’s opinion on amazon products using selective memory architecture-based convolutional neural network

Mandhula, Trupthi ; Pabboju, Suresh ; Gugulotu, Narsimha

The Journal of supercomputing, 2020-08, Vol.76 (8), p.5923-5947 [Periódico revisado por pares]

New York: Springer US

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4
A novel approach to word sense disambiguation in Bengali language using supervised methodology
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A novel approach to word sense disambiguation in Bengali language using supervised methodology

Pal, Alok Ranjan ; Saha, Diganta ; Dash, Niladri Sekhar ; Naskar, Sudip Kumar ; Pal, Antara

Sadhana (Bangalore), 2019-08, Vol.44 (8), p.1-12, Article 181 [Periódico revisado por pares]

New Delhi: Springer India

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5
Translating Speech to Indian Sign Language Using Natural Language Processing
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Translating Speech to Indian Sign Language Using Natural Language Processing

Sharma, Purushottam ; Tulsian, Devesh ; Verma, Chaman ; Sharma, Pratibha ; Nancy, Nancy

Future internet, 2022-09, Vol.14 (9), p.253 [Periódico revisado por pares]

Basel: MDPI AG

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6
"In their own words": delineating the contours of dyspnea invisibility in patients with advanced chronic obstructive pulmonary disease from quantitative discourse analysis
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"In their own words": delineating the contours of dyspnea invisibility in patients with advanced chronic obstructive pulmonary disease from quantitative discourse analysis

Dedonder, Jonathan ; Gelgon, Christelle ; Guerder, Antoine ; Nion, Nathalie ; Lavault, Sophie ; Morélot-Panzini, Capucine ; Gonzalez-Bermejo, Jésus ; Benoit, Laelia ; Similowski, Thomas ; Serresse, Laure

Respiratory research, 2024-01, Vol.25 (1), p.21-21, Article 21 [Periódico revisado por pares]

England: BioMed Central Ltd

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A novel approach to predicting the synergy of anti-cancer drug combinations using document-based feature extraction
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A novel approach to predicting the synergy of anti-cancer drug combinations using document-based feature extraction

Shim, Yongsun ; Lee, Munhwan ; Kim, Pil-Jong ; Kim, Hong-Gee

BMC bioinformatics, 2022-05, Vol.23 (1), p.163-163, Article 163 [Periódico revisado por pares]

England: BioMed Central Ltd

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8
On the automatic classification of app reviews
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On the automatic classification of app reviews

Maalej, Walid ; Kurtanović, Zijad ; Nabil, Hadeer ; Stanik, Christoph

Requirements engineering, 2016-09, Vol.21 (3), p.311-331 [Periódico revisado por pares]

London: Springer London

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A modular framework for biomedical concept recognition
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A modular framework for biomedical concept recognition

Campos, David ; Matos, Sérgio ; Oliveira, José Luís

BMC bioinformatics, 2013-09, Vol.14 (1), p.281-281, Article 281 [Periódico revisado por pares]

England: BioMed Central Ltd

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MACHINE LEARNING OF MORPHOSYNTACTIC STRUCTURE: LEMMATIZING UNKNOWN SLOVENE WORDS
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MACHINE LEARNING OF MORPHOSYNTACTIC STRUCTURE: LEMMATIZING UNKNOWN SLOVENE WORDS

ERJAVEC, TOMAŽ ; DŽEROSKI, SASČO

Applied artificial intelligence, 2004-01, Vol.18 (1), p.17-41 [Periódico revisado por pares]

Taylor & Francis Group

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