Journals

L. Hilte, I. Markov, N. Ljubešić, D. Fišer, W. Daelemans. Who are the Haters? A Corpus-Based Demographic Analysis of Authors of Hate Speech. Frontiers in Artificial Intelligence, vol. 6, 2023.
I. Gevers, I. Markov, W. Daelemans. Linguistic Analysis of Toxic Language on Social Media. Computational Linguistics in the Netherlands Journal, vol. 12, pp. 33–48, 2022.
J. Lemmens, T. Dejaeghere, T. Kreutz, J. Van Nooten, I. Markov, W. Daelemans. Vaccinpraat: Monitoring Vaccine Skepticism in Dutch Twitter and Facebook Comments. Computational Linguistics in the Netherlands Journal, vol. 11, pp. 173–188, 2022.
J. Van Nooten, I. Markov, W. Daelemans. Evaluating the Impact of Word Classes on Cross-Domain Age Detection Models' Performance. Computational Linguistics in the Netherlands Journal, vol. 11, pp. 71–84, 2022.
I. Markov, V. Nastase, C. Strapparava. Exploiting Native Language Interference for Native Language Identification. Natural Language Engineering, pp. 1–31, 2020.
H. Gómez, R. Fuentes, I. Markov, G. Sidorov, A. Gelbukh. A Convolutional Neural Network Approach for Gender and Language Variety Identification. Journal of Intelligent & Fuzzy Systems, vol. 36, no. 5, pp. 4845–4855, 2019.
G. Sidorov, I. Markov, O. Kolesnikova, L. Chanona. Human Interaction with Shopping Assistant Robot in Natural Language. Journal of Intelligent & Fuzzy Systems, vol. 36, no. 5, pp. 4889–4899, 2019.
I. Markov, J. Baptista, O. Pichardo. Authorship Attribution in Portuguese Using Character N-grams. Acta Polytechnica Hungarica, vol. 14, no. 3, pp. 59–78, 2017.
G. Sidorov, M. Ibarra, I. Markov, R. Guzman, L. Chanona, F. Velásquez. Measuring Similarity Between Karel Programs Using Character and Word N-grams. Programming and Computer Software, vol. 43, no. 1, pp. 47–50, 2017.
H. Gómez, I. Markov, G. Sidorov, J.-P. Posadas, M. Sanchez, L. Chanona. Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts. Computational Intelligence and Neuroscience, vol. 2016, 13 pages, 2016.
G. Sidorov, M. Ibarra, I. Markov, R. Guzman, L. Chanona, F. Velásquez. Automatic Detection of Similarity of Programs in Karel Programming Language based on Natural Language Processing Techniques. Computación y Sistemas, vol. 20, no. 2, pp. 279–288, 2016.
H. Gómez, I. Markov, G. Sidorov, J.-P. Posadas, C. Fócil. Compiling a Lexicon of Social Media for the Author Profiling Task. Research in Computing Science, vol. 115, pp. 19–27, 2016.
I. Markov, N. Mamede, J. Baptista. A Rule-Based Meronymy Extraction Module for Portuguese. Computación y Sistemas, vol. 19, no. 4, pp. 661–683, 2015.

Conferences, workshops, and chapters in books

Y. Wang, I. Markov. CLTL@Multimodal Hate Speech Event Detection 2024: The Winning Approach to Detecting Multimodal Hate Speech and Its Targets. In: 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024), St. Julians, Malta. ACL, pp. 73–78, March 21–22, 2024.
S. F. Schouten, P. Bloem, I. Markov, P. Vossen. Reasoning about Ambiguous Definite Descriptions. In: Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore. ACL, pp. 4479–4484, December 6–10, 2023.
M. Doğanç, I. Markov. From Generic to Personalized: Investigating Strategies for Generating Targeted Counter Narratives against Hate Speech. In: 1st Workshop on CounterSpeech for Online Abuse (CS4OA 2023), Prague, Czech Republic. ACL, pp. 1–12, September 11, 2023.
N. Yuzbashyan, N. Banar, I. Markov, W. Daelemans. An Exploration of Zero-Shot Natural Language Inference-Based Hate Speech Detection. In: Third Workshop on Language Technology for Equality, Diversity and Inclusion (LT-EDI 2023), Varna, Bulgaria. ACL, pp. 1–9, September 7, 2023.
S. F. Schouten, B. Barbarestani, W. Tufa, P. Vossen, I. Markov. Cross-Domain Toxic Spans Detection. In: 28th International Conference on Natural Language & Information Systems (NLDB 2023), Derby, United Kingdom. LNCS, Springer, vol. 13913, pp. 533–545, June 21–23, 2023.
J. Lemmens, I. Markov, W. Daelemans. The LiLaH Emotion Lexicon of Greek, Kurdish, Turkish, Spanish, Farsi and Chinese. CLiPS Technical Report Series, CTRS-009, 2023.
I. Markov, W. Daelemans. The Role of Context in Detecting the Target of Hate Speech. In: Third Workshop on Threat, Aggression and Cyberbullying (TRAC 2022), Gyeongju, Republic of Korea. ACL, pp. 37–42, October 17, 2022.
I. Markov, I. Gevers, W. Daelemans. An Ensemble Approach for Dutch Cross-Domain Hate Speech Detection. In: 27th International Conference on Natural Language & Information Systems (NLDB 2022), Valencia, Spain. LNCS, Springer, vol. 13286, pp. 3–15, June 15–17, 2022.
M. Kestemont, E. Manjavacas, I. Markov, J. Bevendorff, M. Wiegmann, E. Stamatatos, B. Stein, M. Potthast. Overview of the Cross-Domain Authorship Verification Task at PAN 2021. In: Working Notes of CLEF 2021 – Conference and Labs of the Evaluation Forum, Bucharest, Romania. CEUR, vol. 2936, pp. 1743–1759, September 21–24, 2021.
J. Lemmens, I. Markov, W. Daelemans. Improving Hate Speech Type and Target Detection with Hateful Metaphor Features. In: Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda (NLP4IF 2021), Online. ACL, pp. 7–16, June 6, 2021.
I. Markov, W. Daelemans. Improving Cross-Domain Hate Speech Detection by Reducing the False Positive Rate. In: Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda (NLP4IF 2021), Online. ACL, pp. 17–22, June 6, 2021.
I. Markov, N. Ljubešić, D. Fišer, W. Daelemans. Exploring Stylometric and Emotion-Based Features for Multilingual Cross-Domain Hate Speech Detection. In: Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2021), Online. ACL, pp. 149–159, April 19, 2021.
J. Bevendorff, B. Chulvi, G. L. De La Peña Sarracén, M. Kestemont, E. Manjavacas, I. Markov, M. Mayerl, M. Potthast, F. Rangel, P. Rosso, E. Stamatatos, B. Stein, M. Wiegmann, M. Wolska, E. Zangerle. Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection. In: 43rd European Conference on Information Retrieval (ECIR 2021), Online. LNCS, Springer, vol. 12657, pp. 567–573, March 28 – April 1, 2021.
N. Ljubešić, I. Markov, D. Fišer, W. Daelemans. The LiLaH Emotion Lexicon of Croatian, Dutch and Slovene. In: Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media (PEOPLES 2020), Barcelona, Spain (Online). ACL, pp. 153–157, December 13, 2020.
E. Lotfi, I. Markov, W. Daelemans. A Deep Generative Approach to Native Language Identification. In: 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain (Online). International Committee on Computational Linguistics, pp. 1778–1783, December 8–13, 2020.
J. Bevendorff, B. Ghanem, A. Giachanou, M. Kestemont, E. Manjavacas, I. Markov, M. Mayerl, M. Potthast, F. Rangel, P. Rosso, G. Specht, E. Stamatatos, B. Stein, M. Wiegmann, E. Zangerle. Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection. In: Experimental IR Meets Multilinguality, Multimodality, and Interaction – 11th International Conference of the CLEF Association (CLEF 2020), Thessaloniki, Greece. LNCS, Springer, vol. 12260, pp. 372–383, September 22–25, 2020.
M. Kestemont, E. Manjavacas, I. Markov, J. Bevendorff, M. Wiegmann, E. Stamatatos, M. Potthast, B. Stein. Overview of the Cross-Domain Authorship Verification Task at PAN 2020. In: Working Notes of CLEF 2020 – Conference and Labs of the Evaluation Forum, Thessaloniki, Greece. CEUR, vol. 2696, September 22–25, 2020.
J. Lemmens, B. Burtenshaw, E. Lotfi, I. Markov, W. Daelemans. Sarcasm Detection Using an Ensemble Approach. In: Second Workshop on Figurative Language Processing (FigLang 2020), Online. ACL, pp. 264–269, July 9, 2020.
I. Markov, V. Nastase, C. Strapparava. Anglicized Words and Misspelled Cognates in Native Language Identification. In: 14th Workshop on Innovative Use of NLP for Building Educational Applications (BEA14 2019), Florence, Italy. ACL, pp. 275–284, August 2, 2019.
I. Markov, E. De la Clergerie. INRIA at SemEval-2019 Task 9: Suggestion Mining Using SVM with Handcrafted Features. In: 13th International Workshop on Semantic Evaluation (SemEval-2019), Minneapolis, Minnesota, USA. ACL, pp. 1204–1207, June 6–7, 2019.
I. Markov, G Sidorov. CIC-IPN@INLI2018: Indian Native Language Identification. In: Working Notes of FIRE 2018 – 10th International Forum for Information Retrieval Evaluation, Gandhinagar, India. CEUR-WS.org, vol. 2266, pp. 82–88, December 06–09, 2018.
I. Markov, V. Nastase, C. Strapparava, G. Sidorov. The Role of Emotions in Native Language Identification. In: 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2018), Brussels, Belgium. ACL, pp. 123–129, October 31, 2018.
I. Markov, H. Gómez, M. Jasso-Rosales, G. Sidorov. CIC-GIL Approach to Author Profiling in Spanish Tweets: Location and Occupation. In: Third Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval 2018), Seville, Spain. CEUR-WS.org, vol. 2150, pp. 97–101, September 18, 2018.
I. Markov, V. Nastase, C. Strapparava. Punctuation as Native Language Interference. In: 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, New Mexico, USA. The COLING 2018 Organizing Committee, pp. 3456–3466, August 20–26, 2018.
I. Markov, H. Gómez, G. Sidorov, A. Gelbukh. The Winning Approach to Cross-Genre Gender Identification in Russian at RUSProfiling 2017. In: Working Notes of FIRE 2017 – 9th International Forum for Information Retrieval Evaluation, Bangalore, India. CEUR-WS.org, vol. 2036, pp. 20–24, December 08-10, 2017.
I. Markov, L. Chen, C. Strapparava, G. Sidorov. CIC-FBK Approach to Native Language Identification. In: 12th Workshop on Innovative Use of NLP for Building Educational Applications (BEA12 2017), Copenhagen, Denmark. ACL, pp. 374–381, September 8, 2017.
M. Sanchez, I. Markov, H. Gómez, G. Sidorov. Comparison of Character n-grams and Lexical Features on Author, Gender, and Language Variety Identification on the Same Spanish News Corpus. In: Experimental IR Meets Multilinguality, Multimodality, and Interaction – 8th International Conference of the CLEF Association (CLEF 2017), Dublin, Ireland. LNCS, Springer, vol. 10456, pp. 145–151, September 11–14, 2017.
I. Markov, H. Gómez, G. Sidorov. Language- and Subtask-Dependent Feature Selection and Classifier Parameter Tuning for Author Profiling. In: Working Notes of CLEF 2017 – Conference and Labs of the Evaluation Forum, Dublin, Ireland. CEUR, vol. 1866, September 11–14, 2017.
I. Markov, E. Stamatatos, G. Sidorov. Improving Cross-Topic Authorship Attribution: The Role of Pre-Processing. In: 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2017), Budapest, Hungary. Springer, pp. 289–302, April 17–23, 2017.
H. Gómez, I. Markov, J. Baptista, G. Sidorov, D. Pinto. Discriminating between Similar Languages Using a Combination of Typed and Untyped Character N-grams and Words. In: 4th Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2017), Valencia, Spain. ACL, pp. 137–145, April 3, 2017.
I. Markov, H. Gómez, J.-P. Posadas, G. Sidorov, A. Gelbukh. Author Profiling with Doc2vec Neural Network-Based Document Embeddings. In: 15th Mexican International Conference on Artificial Intelligence (MICAI 2016), Cancún, Mexico. Part II, LNAI, Springer, vol. 10062, pp. 117–131, October 23–29, 2017.
I. Markov, H. Gómez, G. Sidorov, A. Gelbukh. Adapting Cross-Genre Author Profiling to Language and Corpus. In: Working Notes of CLEF 2016 – Conference and Labs of the Evaluation Forum, Évora, Portugal. CEUR, vol. 1609, pp. 947–955, September 5–8, 2016.
G. Sidorov, H. Gómez, I. Markov, D. Pinto, N. Loya. Computing Text Similarity using Tree Edit Distance. In: Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS), joint with 2015 5th World Conference on Soft Computing (WConSC), Redmond, WA, USA. IEEE, pp. 1–4, August 17–19, 2015.
H. Gómez, G. Sidorov, D. Pinto, I. Markov. A Graph Based Authorship Identification Approach. In: Working Notes of CLEF 2015 – Conference and Labs of the Evaluation Forum, Toulouse, France. CEUR, vol. 1391, September 8–11, 2015.
J.-P. Posadas, I. Markov, H. Gómez, G. Sidorov, I. Batyrshin, A. Gelbukh, O. Pichardo. Syntactic N-grams as Features for the Author Profiling Task. In: Working Notes of CLEF 2015 – Conference and Labs of the Evaluation Forum, Toulouse, France. CEUR, vol. 1391, September 8–11, 2015.
I. Markov, N. Mamede, J. Baptista. Whole-Part Relations Rule-Based Automatic Identification: Issues from Fine-Grained Error Analysis. In: 13th Mexican International Conference on Artificial Intelligence (MICAI 2014), Tuxtla Gutiérrez, Mexico. Springer, vol. 8856, pp. 37–50, November 16–22, 2014.
I. Markov, N. Mamede, J. Baptista. Automatic Identification of Whole-Part Relations in Portuguese. In: 3rd Symposium on Languages, Applications and Technologies (SLATE 2014), Bragança, Portugal. Dagstuhl Publishing, vol. 38, pp. 225–232, June 19–20, 2014.
J. Baptista, N. Mamede, I. Markov. Integrating Verbal Idioms into an NLP System. In: 11th International Conference on the Computational Processing of the Portuguese Language (PROPOR 2014), São Carlos, SP, Brazil. Springer, vol. 8775, pp. 250–255, October 6–9, 2014.
I. Markov, N. Mamede, J. Baptista. Body-Part Nouns and Whole-Part Relations. In: 11th International Conference on the Computational Processing of the Portuguese Language (PROPOR 2014), São Carlos, SP, Brazil. Springer, vol. 8775, pp. 125–136, October 6–9, 2014.
J. Baptista, N. Mamede, I. Markov. Integrating a Lexicon-Grammar of Verbal Idioms in a Portuguese NLP System. In: 2nd PARSEME General Meeting, Athens, Greece, March 10–11, 2014.