Soft similarity and soft cosine measure: Similarity of features in vector space model G Sidorov, A Gelbukh, H Gómez-Adorno, D Pinto Computación y Sistemas 18 (3), 491-504, 2014 | 536 | 2014 |
Syntactic n-grams as machine learning features for natural language processing G Sidorov, F Velasquez, E Stamatatos, A Gelbukh, ... Expert Systems with Applications 41 (3), 853-860, 2014 | 460 | 2014 |
Empirical study of machine learning based approach for opinion mining in tweets G Sidorov, S Miranda-Jiménez, F Viveros-Jiménez, A Gelbukh, ... Advances in Artificial Intelligence: 11th Mexican International Conference …, 2013 | 222 | 2013 |
Syntactic dependency-based n-grams as classification features G Sidorov, F Velasquez, E Stamatatos, A Gelbukh, ... Advances in Computational Intelligence: 11th Mexican International …, 2013 | 180 | 2013 |
Zipf and Heaps laws’ coefficients depend on language A Gelbukh, G Sidorov Computational Linguistics and Intelligent Text Processing: Second …, 2001 | 163 | 2001 |
Detection of fake news in a new corpus for the Spanish language JP Posadas-Durán, H Gómez-Adorno, G Sidorov, JJM Escobar Journal of Intelligent & Fuzzy Systems 36 (5), 4869-4876, 2019 | 116 | 2019 |
Unsupervised sentence representations as word information series: Revisiting TF–IDF I Arroyo-Fernández, CF Méndez-Cruz, G Sierra, JM Torres-Moreno, ... Computer Speech & Language 56, 107-129, 2019 | 94 | 2019 |
Procesamiento automático del español con enfoque en recursos léxicos grandes A Gelbukh, G Sidorov Instituto Politécnico Nacional, 2006 | 87 | 2006 |
A Winning Approach to Text Alignment for Text Reuse Detection at PAN 2014. MA Sanchez-Perez, G Sidorov, AF Gelbukh CLEF (Working Notes) 2014, 1004-1011, 2014 | 86 | 2014 |
Syntactic dependency based n-grams in rule based automatic English as second language grammar correction. G Sidorov Int. J. Comput. Linguistics Appl. 4 (2), 169-188, 2013 | 86 | 2013 |
Data augmentation using machine translation for fake news detection in the Urdu language M Amjad, G Sidorov, A Zhila Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 81 | 2020 |
Approach to construction of automatic morphological analysis systems for inflective languages with little effort A Gelbukh, G Sidorov International Conference on Intelligent Text Processing and Computational …, 2003 | 78 | 2003 |
Automatic term extraction using log-likelihood based comparison with general reference corpus A Gelbukh, G Sidorov, E Lavin-Villa, L Chanona-Hernandez Natural Language Processing and Information Systems: 15th International …, 2010 | 77 | 2010 |
Creación y evaluación de un diccionario marcado con emociones y ponderado para el español ID Rangel, G Sidorov, SS Guerra Onomazein, 31-46, 2014 | 75 | 2014 |
Syntactic n-grams as features for the author profiling task JP Posadas-Durán, I Markov, H Gómez-Adorno, G Sidorov, I Batyrshin, ... Working Notes Papers of the CLEF, 2015 | 68 | 2015 |
“Bend the truth”: Benchmark dataset for fake news detection in Urdu language and its evaluation M Amjad, G Sidorov, A Zhila, H Gómez-Adorno, I Voronkov, A Gelbukh Journal of Intelligent & Fuzzy Systems 39 (2), 2457-2469, 2020 | 67 | 2020 |
Implicit Aspect Indicator Extraction for Aspect based Opinion Mining. I Cruz, AF Gelbukh, G Sidorov Int. J. Comput. Linguistics Appl. 5 (2), 135-152, 2014 | 64 | 2014 |
Document embeddings learned on various types of n-grams for cross-topic authorship attribution H Gómez-Adorno, JP Posadas-Durán, G Sidorov, D Pinto Computing 100, 741-756, 2018 | 61 | 2018 |
Improving cross-topic authorship attribution: The role of pre-processing I Markov, E Stamatatos, G Sidorov Computational Linguistics and Intelligent Text Processing: 18th …, 2018 | 60 | 2018 |
Author profiling with doc2vec neural network-based document embeddings I Markov, H Gómez-Adorno, JP Posadas-Durán, G Sidorov, A Gelbukh Advances in Soft Computing: 15th Mexican International Conference on …, 2017 | 58 | 2017 |