| Relation extraction using distant supervision: A survey A Smirnova, P Cudré-Mauroux ACM Computing Surveys (CSUR) 51 (5), 1-35, 2018 | 228 | 2018 |
| Overview of pan 2024: multi-author writing style analysis, multilingual text detoxification, oppositional thinking analysis, and generative ai authorship verification J Bevendorff, XB Casals, B Chulvi, D Dementieva, A Elnagar, D Freitag, ... European Conference on Information Retrieval, 3-10, 2024 | 49 | 2024 |
| Overview of the multilingual text detoxification task at pan 2024 D Dementieva, D Moskovskiy, N Babakov, AA Ayele, N Rizwan, ... Working Notes of CLEF, 2024 | 43 | 2024 |
| Overview of pan 2024: Multi-author writing style analysis, multilingual text detoxification, oppositional thinking analysis, and generative ai authorship verification condensed … AA Ayele, N Babakov, J Bevendorff, XB Casals, B Chulvi, D Dementieva, ... International Conference of the Cross-Language Evaluation Forum for European …, 2024 | 32 | 2024 |
| Scalpel-cd: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training data J Yang, A Smirnova, D Yang, G Demartini, Y Lu, P Cudré-Mauroux The World Wide Web Conference, 2158-2168, 2019 | 31 | 2019 |
| Nessy: A neuro-symbolic system for label noise reduction A Smirnova, J Yang, D Yang, P Cudre-Mauroux IEEE Transactions on Knowledge and Data Engineering 35 (8), 8300-8311, 2022 | 9 | 2022 |
| Toloka visual question answering benchmark D Ustalov, N Pavlichenko, S Koshelev, D Likhobaba, A Smirnova arXiv preprint arXiv:2309.16511, 2023 | 7 | 2023 |
| Distant supervision from knowledge graphs A Smirnova, J Audiffren, P Cudré-Mauroux Encyclopedia of big data technologies, 671-677, 2019 | 5 | 2019 |
| XCrowd: Combining Explainability and Crowdsourcing to Diagnose Models in Relation Extraction A Smirnova, J Yang, P Cudre-Mauroux Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 4 | 2024 |
| WSDM Cup 2023 Challenge on Visual Question Answering. D Ustalov, N Pavlichenko, D Likhobaba, A Smirnova CSW@ WSDM, 1-7, 2023 | 4 | 2023 |
| APCNN: Tackling class imbalance in relation extraction through aggregated piecewise convolutional neural networks A Smirnova, J Audiffren, P Cudré-Mauroux 2019 6th Swiss Conference on Data Science (SDS), 63-68, 2019 | 4 | 2019 |
| Crowdsourcing for information retrieval D Ustalov, A Smirnova, N Fedorova, N Pavlichenko European Conference on Information Retrieval, 357-361, 2023 | 1 | 2023 |
| Distant Supervision from Knowledge Graphs A Smirnova, J Audiffren, P Cudré-Mauroux Encyclopedia of Big Data Technologies, 1-8, 2022 | | 2022 |
| Big Data for Automatic Relation Extraction in Natural Language Processing J Serre, P Cudré-Mauroux, A Smirnova | | 2017 |
| Toloka at LMNL Challenge: Learning from Noisy Labels with Annotator Reliabilities and Self-Supervised Training B Tseytlin, N Pavlichenko, D Likhobaba, A Smirnova, D Ustalov | | |
Philippe Cudre-MaurouxFull Professor (Computer Science), U. of Fribourg–SwitzerlandVerified email at unifr.ch
