Grigori Sidorov

Research output

Research output per year 1999 2017 2019 2020 2021 2022 2023

• 73 Conference contribution
• 63 Article
• 42 Conference article
• 21 Chapter
• 21 More
  • 18 Editorial
  • 2 Paper
  • 1 Review article

Research output per year

Research output per year

Search results

• Relational data model in document hierarchical indexing

  Gelbukh, A., Sidorov, G. & Guzmán-Arenas, A., 2002, Advances in Natural Language Processing - 3rd International Conference, PorTAL 2002, Proceedings. Ranchhod, E. & Mamede, N. J. (eds.). Springer Verlag, p. 259-262 4 p. (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); vol. 2389).

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

  Open Access

  • Relational Model 100%
  • Indexing 89%
  • Data Model 81%
  • Data structures 59%
  • Concept Hierarchy 42%

• Relevance of named entities in authorship attribution

  Ríos-Toledo, G., Sidorov, G., Castro-Sánchez, N. A., Nava-Zea, A. & Chanona-Hernández, L., 2017, Advances in Soft Computing - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings. Herrera-Alcantara, O. & Sidorov, G. (eds.). Springer Verlag, p. 3-15 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10061 LNAI).

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

  • N-gram 100%
  • Relevance 57%
  • Electronic Mail 17%
  • Learning algorithms 16%
  • Corpus 15%
  2 Scopus citations

• Rule-based system for automatic grammar correction using syntactic n-grams for english Language Learning (L2)

  Sidorov, G., Gupta, A., Tozer, M., Catala, D., Catena, A. & Fuentes, S., 2013, CoNLL 2013 - 17th Conference on Computational Natural Language Learning, Proceedings of the Shared Task. Association for Computational Linguistics (ACL), p. 96-101 6 p. (CoNLL 2013 - 17th Conference on Computational Natural Language Learning, Proceedings of the Shared Task).

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

  • Grammar Correction 100%
  • Rule-based Systems 72%
  • N-gram 72%
  • Knowledge based systems 55%
  • Language Acquisition 53%
  16 Scopus citations

• Rule-based system for automatic grammar correction using syntactic n-grams for english Language Learning (L2)

  Sidorov, G., Gupta, A., Tozer, M., Catala, D., Catena, A. & Fuentes, S., 1 Jan 2013, CoNLL 2013 - 17th Conference on Computational Natural Language Learning, Proceedings of the Shared Task. Association for Computational Linguistics (ACL), p. 96-101 6 p. (CoNLL 2013 - 17th Conference on Computational Natural Language Learning, Proceedings of the Shared Task).

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

  • Grammar Correction 100%
  • Rule-based Systems 72%
  • N-gram 72%
  • Knowledge based systems 55%
  • Language Acquisition 53%

• Science for Fun: The CLEF 2023 JOKER Track on Automatic Wordplay Analysis

  Ermakova, L., Miller, T., Bosser, A. G., Palma Preciado, V. M., Sidorov, G. & Jatowt, A., 2023, Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. Kamps, J., Goeuriot, L., Crestani, F., Maistro, M., Joho, H., Davis, B., Gurrin, C., Caputo, A. & Kruschwitz, U. (eds.). Springer Science and Business Media Deutschland GmbH, p. 546-556 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13982 LNCS).

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

  • Evaluation 100%
  • Alike 91%
  • Meaning 62%
  • Human 61%
  • Knowledge 52%
  8 Scopus citations

• Searching for cerebrovascular disease optimal treatment recommendations applying markovian processes

  Victorio-Meza, H., Mejia-Lavalle, M., Rebollar, A. M., Ortega, J. P., Lagunas, O. P. & Sidorov, G., 22 Dec 2016, Proceedings - 2016 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2016. Institute of Electrical and Electronics Engineers Inc., p. 48-52 5 p. 7796030. (Proceedings - 2016 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2016).

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

  • Neuroimaging 100%
  • Markov processes 80%

• Search interface to a Mayan glyph database based on visual characteristics

  Sidorov, G., Pichardo-Lagunas, O. & Chanona-Hernandez, L., 2009, Natural Language Processing and Information Systems - 14th International Conference on Applications of Natural Language to Information Systems, NLDB 2009, Revised Papers. p. 222-229 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5723 LNCS).

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

  • Vision 100%
  • Prototype 35%
  • Necessity 33%
  • Person 33%
  • Community 33%

• Sentiment Detection in Economics Texts

  Ojo, O. E., Gelbukh, A., Calvo, H., Adebanji, O. O. & Sidorov, G., 2020, Advances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Proceedings. Martínez-Villaseñor, L., Ponce, H., Herrera-Alcántara, O. & Castro-Espinoza, F. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 271-281 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12469 LNAI).

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

  • Text 100%
  • Deep learning 95%
  • Economics 94%
  • Machine learning 78%
  • Intelligence 48%
  6 Scopus citations

• Simple window selection strategies for the simplified lesk algorithm for word sense disambiguation

  Viveros-Jiménez, F., Gelbukh, A. & Sidorov, G., 2013, Advances in Artificial Intelligence and Its Applications - 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, Proceedings. PART 1 ed. p. 217-227 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8265 LNAI, no. PART 1).

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

  • Word Sense Disambiguation 100%
  • Strategy 38%
  • Context 25%
  • Target 23%
  • Knowledge-based 20%
  6 Scopus citations

• Summarizing conceptual graphs for automatic summarization task

  Miranda-Jiménez, S., Gelbukh, A. & Sidorov, G., 2013, Parameterized and Exact Computation - 7th International Symposium, IPEC 2012, Proceedings. p. 245-253 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7735 LNCS).

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

  • Conceptual Graphs 100%
  • Summarization 93%
  • Semantics 42%
  • Text 23%
  • Graph structures 19%
  14 Scopus citations

• Syntactic dependency-based n-grams: More evidence of usefulness in classification

  Sidorov, G., Velasquez, F., Stamatatos, E., Gelbukh, A. & Chanona-Hernández, L., 2013, Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings. PART 1 ed. p. 13-24 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7816 LNCS, no. PART 1).

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

  • N-gram 100%
  • Syntactics 61%
  • Syntax 57%
  • Evidence 49%
  • Path Following 16%
  23 Scopus citations

• Syntactic dependency-based n-grams as classification features

  Sidorov, G., Velasquez, F., Stamatatos, E., Gelbukh, A. & Chanona-Hernández, L., 2013, Advances in Artificial Intelligence - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, Revised Selected Papers. PART 2 ed. p. 1-11 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7630 LNAI, no. PART 2).

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

  • N-gram 100%
  • Syntactics 61%
  • Syntax 57%
  • Natural language processing systems 12%
  • Classifier 9%
  69 Scopus citations

• The Effect of Normalization for Bi-directional Amharic-English Neural Machine Translation

  Belay, T. D., Tonja, A. L., Kolesnikova, O., Yimam, S. M., Ayele, A. A., Haile, S. B., Sidorov, G. & Gelbukh, A., 2022, 2022 International Conference on Information and Communication Technology for Development for Africa, ICT4DA 2022. Alemneh, E., Nigussie, E. & Mekuria, F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 84-89 6 p. (2022 International Conference on Information and Communication Technology for Development for Africa, ICT4DA 2022).

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

  Open Access

  • Machine Translation 100%
  • Normalization 70%
  • normalization 64%
  • Deep neural networks 29%
  • Translation Model 27%
  3 Scopus citations

• The IPN-CIC team system submission for the WMT 2020 similar language task

  Menéndez-Salazar, L. A., Sidorov, G. & Costa-Jussà, M. R., 2020, 5th Conference on Machine Translation, WMT 2020 - Proceedings. Barrault, L., Bojar, O., Bougares, F., Chatterjee, R., Costa-Jussa, M. R., Federmann, C., Fishel, M., Fraser, A., Graham, Y., Guzman, P., Haddow, B., Huck, M., Yepes, A. J., Koehn, P., Martins, A., Morishita, M., Monz, C., Nagata, M., Nakazawa, T. & Negri, M. (eds.). Association for Computational Linguistics (ACL), p. 409-413 5 p. (5th Conference on Machine Translation, WMT 2020 - Proceedings).

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

  • Portuguese Language 100%
  • Research Teams 94%
  • Natural language processing systems 85%
  • Natural Language Processing (NLP) 84%
  • Tuning 81%
  1 Scopus citations

• The Role of Emotions in Native Language Identification

  Markov, I., Nastase, V., Strapparava, C. & Sidorov, G., 2018, WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop. Association for Computational Linguistics (ACL), p. 123-129 7 p. (WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop).

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

  • Native Language 100%
  • emotion 63%
  • Emotion 53%
  • Proficiency 21%
  • Polarity 18%
  5 Scopus citations

• Toward optimal pedagogical action patterns by means of Partially Observable Markov Decision Process

  Mejía-Lavalle, M., Victorio, H., Martínez, A., Sidorov, G., Sucar, E. & Pichardo-Lagunas, O., 2017, Advances in Soft Computing - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings. Pichardo-Lagunas, O. & Miranda-Jimenez, S. (eds.). Springer Verlag, p. 473-480 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10062 LNAI).

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

  • Partially Observable Markov Decision Process 100%
  • Markov processes 64%
  • Intelligent Tutoring Systems 54%
  • Intelligent systems 31%
  • Teaching 15%

• UrduFake@FIRE2020: Shared Track on Fake News Identification in Urdu

  Amjad, M., Sidorov, G., Zhila, A., Gelbukh, A. & Rosso, P., 16 Dec 2020, FIRE 2020 - Proceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation. Majumder, P., Mitra, M., Gangopadhyay, S. & Mehta, P. (eds.). Association for Computing Machinery, p. 37-40 4 p. (ACM International Conference Proceeding Series).

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

  Open Access

  • Machine learning 100%
  • Sports 45%
  • Health 33%
  • Classifiers 32%
  • Neural networks 27%
  14 Scopus citations

• UrduFake@FIRE2021: Shared Track on Fake News Identification in Urdu

  Amjad, M., Butt, S., Amjad, H. I., Zhila, A., Sidorov, G. & Gelbukh, A., 13 Dec 2021, FIRE 2021 - Proceedings of the 13th Annual Meeting of the Forum for Information Retrieval Evaluation. Ganguly, D., Gangopadhyay, S., Mitra, M., Majumder, P. & Majumder, P. (eds.). Association for Computing Machinery, p. 19-21 3 p. (ACM International Conference Proceeding Series).

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

  Open Access

  • Classifiers 100%
  • Network architecture 66%
  • Neural networks 42%

• UrduThreat@ FIRE2021: Shared Track on Abusive Threat Identification in Urdu

  Amjad, M., Zhila, A., Sidorov, G., Labunets, A., Butt, S., Amjad, H. I., Vitman, O. & Gelbukh, A., 13 Dec 2021, FIRE 2021 - Proceedings of the 13th Annual Meeting of the Forum for Information Retrieval Evaluation. Ganguly, D., Gangopadhyay, S., Mitra, M., Majumder, P. & Majumder, P. (eds.). Association for Computing Machinery, p. 9-11 3 p. (ACM International Conference Proceeding Series).

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

• Use of a weighted topic hierarchy for document classification?

  Gelbukh, A., Sidorov, G. & Guzman-Arénas, A., 1999, Text, Speech and Dialogue - 2nd International Workshop, TSD 1999, Proceedings. Matousek, V., Mautner, P., Oceláková, J. & Sojka, P. (eds.). Springer Verlag, p. 133-138 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1692).

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

  • Document Classification 100%
  • Dictionary 53%
  • Glossaries 53%
  • Hierarchy 45%
  • Text Classification 18%
  17 Scopus citations

• Using soft similarity in multi-label classification for reuters-21578 corpus

  Trejo, V. C., Sidorov, G., Ibarra, M. M., Jiménez, S. M. & Martínez, R. C., 25 Aug 2015, Proceedings of Special Session 2014 13th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2014. Gelbukh, A., Galicia-Haro, S. N. & Castro Espinoza, F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3-8 6 p. 7222835. (Proceedings of Special Session 2014 13th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2014).

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

  • Labels 100%
  • Vector spaces 34%

• Virality Prediction for News Tweets Using RoBERTa

  Maldonado-Sifuentes, C. E., Angel, J., Sidorov, G., Kolesnikova, O. & Gelbukh, A., 2021, Advances in Soft Computing - 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Proceedings. Batyrshin, I., Gelbukh, A. & Sidorov, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 81-95 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13068 LNAI).

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

  • Social Media 100%
  • Websites 94%
  • N-gram 92%
  • Prediction 88%
  • Corpus 74%
  3 Scopus citations

• Zipf and heaps laws? Coefficients depend on language

  Gelbukh, A. & Sidorov, G., 2001, Computational Linguistics and Intelligent Text Processing - 2nd International Conference, CICLing 2001, Proceedings. Gelbukh, A. (ed.). Springer Verlag, p. 332-335 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2004).

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

  Open Access

  • Zipf's law 100%
  • Heap 88%
  • Language 47%
  • Database Design 34%
  • Coefficient 32%
  43 Scopus citations