Publications

Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adamek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn (2022). Text Generation with Text-Editing Models. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Tutorial Abstracts.

Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek, Eric Malmi, Aliaksei Severyn (2022). Teaching small language models to reason. arXiv preprint arXiv:2212.08410.

Jonathan Mallinson, Jakub Adamek, Eric Malmi, Aliaksei Severyn (2022). EdiT5: Semi-Autoregressive Text-Editing with T5 Warm-Start. Findings of EMNLP 2022.

Sascha Rothe, Jonathan Mallinson, Eric Malmi, Sebastian Krause, Aliaksei Severyn (2021). A Simple Recipe for Multilingual Grammatical Error Correction. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing.

Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov (2021). Controlled Text Generation as Continuous Optimization with Multiple Constraints. Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021.

Nikola I. Nikolov, Eric Malmi, Curtis Northcutt, Loreto Parisi (2020). Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders. Proceedings of the 13th International Conference on Natural Language Generation.

Eric Malmi, Aliaksei Severyn, Sascha Rothe (2020). Unsupervised Text Style Transfer with Padded Masked Language Models. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).

Eyal Ben-David, Orgad Keller, Eric Malmi, Idan Szpektor, Roi Reichart (2020). Semantically Driven Sentence Fusion: Modeling and Evaluation. Findings of the Association for Computational Linguistics: EMNLP 2020.

Jonathan Mallinson, Aliaksei Severyn, Eric Malmi, Guillermo Garrido (2020). FELIX: Flexible Text Editing Through Tagging and Insertion. Findings of the Association for Computational Linguistics: EMNLP 2020.

Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn (2019). Encode, Tag, Realize: High-Precision Text Editing. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP).

Mor Geva, Eric Malmi, Idan Szpektor, Jonathan Berant (2019). DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers).

Federica Calanca, Luiza Sayfullina, Lara Minkus, Claudia Wagner, Eric Malmi (2019). Responsible team players wanted: an analysis of soft skill requirements in job advertisements. EPJ Data Sci..

Eric Malmi, Daniele Pighin, Sebastian Krause, Mikhail Kozhevnikov (2018). Automatic Prediction of Discourse Connectives. Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018).

Luiza Sayfullina, Eric Malmi, Juho Kannala (2018). Learning Representations for Soft Skill Matching. Analysis of Images, Social Networks and Texts - 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers.

Eric Malmi, Aristides Gionis, Arno Solin (2018). Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating. Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018.

Eric Malmi (2018). Collective Entity Resolution Methods for Network Inference.

Sebastian Krause, Mikhail Kozhevnikov, Eric Malmi, Daniele Pighin (2017). Redundancy Localization for the Conversationalization of Unstructured Responses. Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue.

Eric Malmi, Sanjay Chawla, Aristides Gionis (2017). Lagrangian relaxations for multiple network alignment. Data Min. Knowl. Discov..

Luiza Sayfullina, Eric Malmi, Yiping Liao, Alexander Jung (2017). Domain Adaptation for Resume Classification Using Convolutional Neural Networks. Analysis of Images, Social Networks and Texts - 6th International Conference, AIST 2017, Moscow, Russia, July 27-29, 2017, Revised Selected Papers.

Eric Malmi, Marko Rasa, Aristides Gionis (2017). AncestryAI: A Tool for Exploring Computationally Inferred Family Trees. Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017.

Eric Malmi, Aristides Gionis, Evimaria Terzi (2017). Active Network Alignment: A Matching-Based Approach. Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017.

Eric Malmi, Ingmar Weber (2016). You Are What Apps You Use: Demographic Prediction Based on User's Apps. Proceedings of the Tenth International Conference on Web and Social Media, Cologne, Germany, May 17-20, 2016.

Eric Malmi, Pyry Takala, Hannu Toivonen, Tapani Raiko, Aristides Gionis (2016). DopeLearning: A Computational Approach to Rap Lyrics Generation. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016.

Eric Malmi, Arno Solin, Aristides Gionis (2015). The Blind Leading the Blind: Network-Based Location Estimation Under Uncertainty. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II.

Eric Malmi, Shameem Parambath, Jean-Marc Peyrat, Julien Abinahed, Sanjay Chawla (2015). Cabs: a cascaded brain tumor segmentation approach. Proceedings MICCAI Brain, Tumor Segmentation (BRATS).

Eric Malmi, Nikolaj Tatti, Aristides Gionis (2015). Beyond rankings: comparing directed acyclic graphs. Data Min. Knowl. Discov..

Eric Malmi (2014). Quality matters: usage-based app popularity prediction. The 2014 ACM Conference on Ubiquitous Computing, UbiComp ‘14 Adjunct, Seattle, WA, USA - September 13 - 17, 2014.

Bernt M Åkesson, Esa Lappi, Ville H Pettersson, Eric Malmi, Sampo Syrjänen, Marko Vulli, Kari Stenius (2013). Validating indirect fire models with field experiments. The Journal of Defense Modeling and Simulation.

Eric Malmi, Trinh Minh Tri Do, Daniel Gatica-Perez (2013). From Foursquare to My Square: Learning Check-in Behavior from Multiple Sources. Proceedings of the Seventh International Conference on Weblogs and Social Media, ICWSM 2013, Cambridge, Massachusetts, USA, July 8-11, 2013.

Tommi Vatanen, Mikael Kuusela, Eric Malmi, Tapani Raiko, Timo Aaltonen, Yoshikazu Nagai (2012). Semi-supervised detection of collective anomalies with an application in high energy particle physics. The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012.

Mikael Kuusela, Tommi Vatanen, Eric Malmi, Tapani Raiko, Timo Aaltonen, Yoshikazu Nagai (2012). Semi-supervised anomaly detection--towards model-independent searches of new physics. Journal of Physics: Conference Series.

Eric Malmi, Juha Raitio, Oskar Kohonen, Krista Lagus, Timo Honkela (2012). Identifying Anomalous Social Contexts from Mobile Proximity Data Using Binomial Mixture Models. Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings.

Eric Malmi, Trinh Minh Tri Do, Daniel Gatica-Perez (2012). Checking in or checked in: comparing large-scale manual and automatic location disclosure patterns. 11th International Conference on Mobile and Ubiquitous Multimedia, MUM ‘12, Ulm, Germany, December 4-6, 2012.

Eric Malmi, Ville H. Pettersson, Sampo Syrjänen, Niina Nissinen, Bernt Åkesson, Esa Lappi (2011). Warfare Simulation and Technology Forecasting in Support of Military Decision Making. The First International Conference on Advanced Communications and Computation INFOCOMP 2011.

Mikael Kuusela, Eric Malmi, Risto Orava, Tommi Vatanen (2011). Soft Classification of Diffractive Interactions at the LHC. AIP Conference Proceedings.

Petri Paju, Eric Malmi, Timo Honkela (2010). Text Mining and Qualitative Analysis of an IT History Interview Collection. History of Nordic Computing 3 - Third IFIP WG 9.7 Conference, HiNC 3, Stockholm, Sweden, October 18-20, 2010, Revised Selected Papers.

Mikael Kuusela, Jerry W Lämsä, Eric Malmi, Petteri Mehtälä, Risto Orava (2010). Multivariate techniques for identifying diffractive interactions at the LHC. International Journal of Modern Physics A.