Publications and communications of Ashwin Ittoo

Chuor, P., Ittoo, A., & Heng, S. (2024). User Story Classification with Machine Learning and LLMs. In C. Cao (Ed.), Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-981-97-5492-2_13

Chuor, P., & Ittoo, A. (27 June 2024). Ontologizing Reporting Obligations [Paper presentation]. Semic2024, Brussel, Belgium.

Chuor, P., & Ittoo, A. (25 June 2024). Textometry (Language Models) & LLMs [Paper presentation]. Jadt 2024, Brussel, Belgium.

Chuor, P., & Ittoo, A. (16 May 2024). NLP and LLMs for Regulatory Reporting Obligations [Poster presentation]. Research Day, Liege, Belgium.

Makenne, N. L., & Ittoo, A. (16 May 2024). Towards Small Large Language Models [Poster presentation]. Research Day 2024.

Gautier, A., Ittoo, A., & Van Cleynenbreugel, P. (2023). Pricing algorithms aren't colluding - Yet! ORBi-University of Liège. https://orbi.uliege.be/handle/2268/314305.

Gillain, C., Ittoo, A., & Lambert, M. (2023). Detecting Equity Style Information Within Institutional Media. In Lecture Notes in Operations Research. Springer International Publishing. doi:10.1007/978-3-031-29050-3_8

Memic, E., Lamest, M., Muehlenbrock, S., & Ittoo, A. (18 March 2022). How Does the Banking Business Model Evolve and Integrate in a Platform Ecosystem? Journal of Business Ecosystems, 2 (2), 50-72. doi:10.4018/jbe.295556

Poumay, J., & Ittoo, A. (2022). Using meaning instead of words to track topics. Natural Language Processing and Information Systems.

Trieu, L. H., & Ittoo, A. (2022). A Multilingual Parallel Corpus for Improving Machine Translation on Southeast Asian Languages (Submitted to ACM Transactions on Low Resource Languages). ORBi-University of Liège. https://orbi.uliege.be/handle/2268/291962.

Poumay, J., & Ittoo, A. (2021). A Comprehensive Comparison of Word Embeddings in Event & Entity Coréférence Resolution. In Findings of ACL: EMNLP 2021. Punta Cana, Dominican Republic: Association for Computational Linguistics. doi:10.18653/v1/2021.findings-emnlp.235

Massarotto, G., & Ittoo, A. (2021). Gleaning Insights from Antitrust (draft). https://orbi.uliege.be/handle/2268/252996

Massarotto, G., Ittoo, A., & Gilson, M. (2021). Updated: Gleaning Insight from Antitrust Cases Using Machine Learning. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/260901.

Poumay, J., & Ittoo, A. (2021). HTMOT : Hierarchical Topic Modelling Over Time (Submitted to Information Systems Research, April 2022). ORBi-University of Liège. https://orbi.uliege.be/handle/2268/292032.

Spajosevic, D., Ittoo, A., Rebouh, L., & de Kerchove, E. (2020). Study on the use of innovative technologies in the justice field. Brussels, Belgium: European Commission. doi:10.2838/585101https://orbi.uliege.be/handle/2268/252237

Gautier, A., Ittoo, A., & Van Cleynenbreugel, P. (July 2020). AI algorithms, price discrimination and collusion: a technological, economic and legal perspective. European Journal of Law and Economics, 50 (3), 405-435. doi:10.1007/s10657-020-09662-6

Gillain, C., Ittoo, A., & Lambert, M. (17 January 2020). Style coverage in Institutional Media [Poster presentation]. 12th Annual Hedge Fund Research Conference, Paris, France.

Ittoo, A. (2019). AI Algorithms for Legal Text Processing. In Proceedings Multidisciplinary Perspectives on Algorithms ​ Regulation, Governance, Markets.

Ittoo, A. (19 June 2019). Machine Learning for EUR-Lex Legal Measures [Paper presentation]. EUROFILING CONFERENCE, Frankfurt, Germany.

Gillain, C., Ittoo, A., & Lambert, M. (17 June 2019). News-induced style seasonality [Paper presentation]. 36th International Conference of the French Finance Association (AFFI), Québec, Canada.

Ittoo, A. (06 May 2019). Machine Learning pour la Traduction Automatique [Paper presentation]. Le traducteur à l’ère des nouvelles technologies.

Resnick, M. P., Ittoo, A., Jamoulle, M., Vanmeerbeek, M., Shamenek, F. S., Ed Hsu, C., vander Stichele, R., Grosjean, J., Darmoni, S., Cardillo, E., & Pizzanelli, M. (2019). The Q-codes: Metadata, Research data, and desiderata, oh my! Improving access to grey literature in family medicine. In D. Farace & Frantzen (Eds.), GL20 Proceedings Twentieth International Conference on Grey Literature “Research Data Fuels and Sustains Grey Literature” (TextRelease, February 2019 .–161p, pp. 123-133). Amsterdam, Netherlands: GreyLiterature Network Service.

Trieu, H. L., Ittoo, A., & Nguyen, L. M. (2019). Leveraging Resources for Statistical Machine Translation on Asian Low Resource Languages. ACM Transactions on Asian and Low-Resource Language Information Processing, 18 (3). doi:10.1145/3314936

Trieu, L. H., & Ittoo, A. (2019). Generation of Parallel Corpus for Low Resource Language Translation. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/227534.

Gautier, A., Ittoo, A., & Petit, N. (05 December 2018). Price Discrimination & Collusion with AI [Paper presentation]. THE LAW AND ECONOMICS OF BIG DATA AND ARTIFICIAL INTELLIGENCE, Rome, Italy.

Gautier, A., Ittoo, A., & Petit, N. (05 December 2018). Algorithmic Price Discrimination & Tacit Collusion [Paper presentation]. Workshop on Law and Economics of Big Data and AI, Rome, Italy.

Jamoulle, M., Pizzanelli, M., Cardillo, E., Ittoo, A., Vander Stichele, R., Resnick, M., Grosjean, J., Darmoni, S., & Vanmeerbeek, M. (December 2018). Indexing grey multilingual literature in General Practice: Family Medicine in the Era of Semantic Web. Grey Journal, Spring 2018 (1).

Ittoo, A. (23 November 2018). Can AI Algorithms Collude? [Paper presentation]. 18th Information and Computer Science Conference, Ho Chi Mihn City, Vietnam.

Ittoo, A. (2018). Big Data & Competition Law: Price Discrimination vs. Tacit Collusion. In Big Data & Competition Law: Do New Technologies Require New Approaches to Competition Law?

Ittoo, A. (November 2018). Algorithms for Price Discrimination [Paper presentation]. Big Data, AI, and Algorithms: Do New Technologies Require New Approaches to Competition Law?.

Hoffait, A.-S., & Ittoo, A. (July 2018). Assessing and predicting review helpfulness [Paper presentation]. 29ème conférence européenne sur la recherche opérationnelle (EURO2018), Valence, Spain.

Ittoo, A. (15 June 2018). AI & Collusion [Paper presentation]. Competition Law and Policy for Algorithm-Driven Markets, Munich, Germany.

Ittoo, A., Nguyen Le Minh, & Tojo, S. (Eds.). (March 2018). Knowledge & Systems Engineering. Data and Knowledge Engineering, 114, 1-86.

Hoffait, A.-S., Ittoo, A., & Schyns, M. (2018). Assessing and predicting review helpfulness: Critical review, open challenges and research agenda. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/227691.

Jamoulle, M., Cardillo, E., Ittoo, A., Vander Stichele, R., Resnick, M., Grosjean, J., Darmoni, S., & Vanmeerbeek, M. (2018). Indexing grey multilingual literature in General Practice: Family medicine in the era of semantic web. International Conference Series on Grey Literature, 2017-October, 61-84.

Ittoo, A., & Petit, N. (2017). Algorithmic Pricing Agents and Tacit Collusion: A Technological Perspective. In L'intelligence artificielle et le droit. LARCIER. doi:10.2139/ssrn.3046405

Jamoulle, M., Resnick, M., Grosjean, J., Ittoo, A., Cardillo, E., Vander Stichele, R., Darmoni, S., & Vanmeerbeek, M. (October 2017). Development, dissemination, and applications of a new terminological resource the Q-Code taxonomy for professional aspects of General Practice / Family Medicine. European Journal of General Practice, accepted. doi:10.1080/13814788.2017.1404986

Jamoulle, M., Resnick, M., Ittoo, A., Cardillo, E., Vander Stichele, R., & Vanmeerbeek, M. (06 September 2017). Analysis of definitions of General Practice/Family Medicine and Primary Health Care. British Journal of General Practice, 0050.

Frasincar, F., Ittoo, A., Nguyen, L. M., & Metais, E. (Eds.). (2017). Natural Language Processing and Information Systems. Springer. doi:10.1007/978-3-319-59569-6

Jamoulle, M., Grosjean, J., Ittoo, A., Resnick, M., Treuherz, A., Vander Stichele, R. H., Cardillo, E., SHAMENEK, F., & Vanmeerbeek, M. (2017). A terminology in General Practice / Family Medicine to represent non-clinical aspects for various usages. In R. Randell et al. (Ed.), Informatics for Health: Connected Citizen-Led Wellness and Population Health (pp. 235:471-475). IOS Press. doi:10.3233/978-1-61499-753-5-471

Ittoo, A., Nguyen, L. M., & van den Bosch, A. (2016). Text analytics in industry: Challenges, desiderata and trends. Computers in Industry, (78). doi:10.1016/j.compind.2015.12.001

Ittoo, A., Nguyen, L. M., & van den Bosch, A. (Eds.). (March 2016). Special issue on natural language processing and text analytics in industry. Computers in Industry, 78.

Ittoo, A., Nguyen, L. M., & van den Bosch, A. (2016). Editorial: Special issue on natural language processing and text analytics in industry. Computers in Industry. doi:10.1016/j.compind.2016.01.001

Ittoo, A. (2016). Predicting Review Helpfulness. In Proceedings.

Ittoo, A. (2016). Mining Customer Behavior for Churn Management.

Ittoo, A. (2015). Plateforme Digitale et le B2B.

Ittoo, A. (2015). Internt of Things.

Ittoo, A. (2015). Digital Revolution and Manufacturing.

Ittoo, A. (2014). La Transformation Digitale.

Ittoo, A. (2014). Big Data Analytics and the Finance Industry [Paper presentation]. SRIW Conference.

Bouma, G., Ittoo, A., Basile, V., Metais, E., & Wortmann, H. (Eds.). (March 2014). Special Issue on Natural Language Processing and Information Systems. Data and Knowledge Engineering, 90. doi:10.1016/j.datak.2014.03.002

Bouma, G., Ittoo, A., Basile, V., Metais, E., & Wortmann, H. (2014). Natural Language Processing and Information Systems. Data and Knowledge Engineering.

Bouma, G., Ittoo, A., Basile, V., Wortmann, H., & Metais, E. (Eds.). (2014). Special Issue on Natural Language Processing and Text Analytics in Industry. Elsevier Science.

Ittoo, A., & Bouma, G. (2013). Minimally-supervised learning of domain-specific causal relations using an open-domain corpus as knowledge base. Data and Knowledge Engineering. doi:10.1016/j.datak.2013.08.004

Ittoo, A., & Bouma, G. (June 2013). Term extraction from sparse, ungrammatical domain-specific documents. Expert Systems with Applications, 40 (7), 2530-2540. doi:10.1016/j.eswa.2012.10.067

Wortmann, J. C., & Ittoo, A. (2013). IFAC Proceedings Volumes. In 7th IFAC Conference on Manufacturing Modelling, Management, and Control. Elsevier. doi:10.3182/20130619-3-RU-3018.00129

Ittoo, A., & Bouma, G. (May 2013). Minimally-supervised extraction of domain-specific part–whole relations using Wikipedia as knowledge-base. Data and Knowledge Engineering, 85. doi:10.1016/j.datak.2012.06.004

Ittoo, A., Szirbik, N., Huitema, G., & Wortmann, H. (2013). Simulation Gaming and Natural Language Processing for Modelling Stakeholder Behavior in Energy Investments. In ICS'2013 Proceedings.

Ittoo, A. (2012). Natural Language Processing Meets Business - Algorithms for Mining Meaning from Corporate Texts [Doctoral thesis, RUG - Rijksuniversiteit Groningen]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/172768

Bouma, G., Ittoo, A., Metais, E., & Wortmann, H. (Eds.). (2012). Natural Language Processing and Information Systems. Springer.

Brombacher, A., Hopma, E., Ittoo, A., Lu, Y., Luyk, I., Maruster, L., Ribeiro, J., Weijters, T., & Wortmann, H. (2011). Improving Product Quality and Reliability with Customer Experience Data. Quality and Reliability Engineering International, 28 (8), 873–886. doi:10.1002/qre.1277

Ittoo, A., & Bouma, G. (2011). Extracting explicit and implicit causal relations from sparse, domain-specific texts. In Lecture Notes in Computer Science. Springer. doi:10.1007/978-3-642-22327-3_6

Ittoo, A., & Bouma, G. (2010). On Learning Subtypes of the Part-Whole Relation: Do Not Mix Your Seeds. Proceedings of the Association for Computational Linguistics.

Ittoo, A., Bouma, G., Maruster, L., & Wortmann, H. (2010). Extracting Meronymy Relationships from Domain-Specific, Textual Corporate Databases. In Lecture Notes in Computer Science. Springer. doi:10.1007/978-3-642-13881-2_5

Ittoo, A., Maruster, L., Wortmann, H., & Bouma, G. (2010). Textractor: A Framework for Extracting Relevant Domain Concepts from Irregular Corporate Textual Datasets. In Lecture Notes in Business Information Processing (Springer). doi:10.1007/978-3-642-12814-1_7

Ittoo, A., & Bouma, G. (2009). Semantic selectional restrictions for disambiguating meronymy relations. In LOT Series.

Zhang, L., & Ittoo, A. (2009). Development of an RMS model based on colored object-oriented Petri nets with changeable structures. IEEE Proceedings of the 16th International Conference on Industrial Engineering and Engineering Management. doi:10.1109/ICIEEM.2009.5344338

Ittoo, A., Zhang, Y. Y., & Jiao, R. (2006). A Text Mining-based Recommendation System for Customer Decision Making in Online Product Customization. IEEE Proceedigns of International Conference on Management of Innovation and Technology.