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

• D. Márquez, H. Gómez, I. Markov, S. B. Santamaría. NLP@IIMAS-CLTL at Multilingual Counterspeech Generation: Combating Hate Speech Using Contextualized Knowledge Graph Representations and LLMs. In: First Workshop on Multilingual Counterspeech Generation (MCG 2025), Abu Dhabi, UAE. ACL, pp. 29–36, January 19, 2025.

• Y. M. Ng, I. Markov. Leveraging Open-Source Large Language Models for Native Language Identification. In: 12th Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2025), Abu Dhabi, UAE. ACL, pp. 20–28, January 19, 2025.

• S. B. Santamaría, H. Gómez, I. Markov. Contextualized Graph Representations for Generating Counter-Narratives against Hate Speech. In: Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA. ACL, pp. 7664–7674, November 12–16, 2024.

• Y. Wang, I. Markov. CLTL at DIMEMEX Shared Task: Fine-Grained Detection of Hate Speech in Memes. In: Iberian Languages Evaluation Forum (IberLEF 2024), colocated with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), Valladolid, Spain. CEUR-WS.org, vol. 3756, September 24, 2024.

• Y. Wang, I. Markov. CLTL at ArAIEval Shared Task: Multimodal Propagandistic Memes Classification Using Transformer Models. In: The Second Arabic Natural Language Processing Conference, Bangkok, Thailand. ACL, pp. 501–506, August 16, 2024.

• W. T. Tufa, I. Markov, P. Vossen. Grounding Toxicity in Real-World Events Across Languages. In: 29th International Conference on Natural Language & Information Systems (NLDB 2024), Turin, Italy. LNCS, Springer, Cham, vol. 14762, pp. 197–210, June 25–27, 2024.

• W. T. Tufa, I. Markov, P. Vossen. Unknown Script: Impact of Script on Cross-Lingual Transfer. In: 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop), Mexico City, Mexico. ACL, pp. 124–129, June 16–21, 2024.

• Y. Wang, I. Markov. CLTL@HarmPot-ID: Leveraging Transformer Models for Detecting Offline Harm Potential and Its Targets in Low-Resource Languages. In: Fourth Workshop on Threat, Aggression & Cyberbullying @ LREC-COLING-2024 (TRAC 2024), Turin, Italy. ELRA and ICCL, pp. 21–16, May 20, 2024.

• W. T. Tufa, I. Markov, P. Vossen. The Constant in HATE: Toxicity in Reddit across Topics and Languages. In: Fourth Workshop on Threat, Aggression & Cyberbullying @ LREC-COLING-2024 (TRAC 2024), Turin, Italy. ELRA and ICCL, pp. 1–11, May 20, 2024.

• 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.