Alisa Smirnova

According to our database, Alisa Smirnova authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract.

Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashraf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Paolo Rosso, Alisa Smirnova, Efstathios Stamatatos, Benno Stein, Mariona Taulé, Dmitry Ustalov, Matti Wiegmann, Eva Zangerle

Proceedings of the Advances in Information Retrieval, 2024

Overview of the Multilingual Text Detoxification Task at PAN 2024.

Daryna Dementieva, Daniil Moskovskiy, Nikolay Babakov, Abinew Ali Ayele, Naquee Rizwan, Florian Schneider, Xintong Wang, Seid Muhie Yimam, Dmitry Ustalov, Elisei Stakovskii, Alisa Smirnova, Ashraf Elnagar, Animesh Mukherjee, Alexander Panchenko

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview.

Abinew Ali Ayele, Nikolay Babakov, Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashaf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Daniil Moskovskiy, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Naquee Rizwan, Paolo Rosso, Florian Schneider, Alisa Smirnova, Efstathios Stamatatos, Elisei Stakovskii, Benno Stein, Mariona Taulé, Dmitry Ustalov, Xintong Wang, Matti Wiegmann, Seid Muhie Yimam, Eva Zangerle

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024

XCrowd: Combining Explainability and Crowdsourcing to Diagnose Models in Relation Extraction.

Alisa Smirnova, Jie Yang, Philippe Cudré-Mauroux

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Nessy: A Neuro-Symbolic System for Label Noise Reduction.

Alisa Smirnova, Jie Yang, Dingqi Yang, Philippe Cudré-Mauroux

IEEE Trans. Knowl. Data Eng., August, 2023

Toloka Visual Question Answering Benchmark.

Dmitry Ustalov, Nikita Pavlichenko, Sergey Koshelev, Daniil Likhobaba, Alisa Smirnova

CoRR, 2023

Crowdsourcing for Information Retrieval.

Dmitry Ustalov, Alisa Smirnova, Natalia Fedorova, Nikita Pavlichenko

Proceedings of the Advances in Information Retrieval, 2023

WSDM Cup 2023 Challenge on Visual Question Answering.

Dmitry Ustalov, Nikita Pavlichenko, Daniil Likhobaba, Alisa Smirnova

Proceedings of the 4th Crowd Science Workshop on Collaboration of Humans and Learning Algorithms for Data Labeling co-located with ACM International WSDM Conference (WSDM 2023), 2023

2019

Distant Supervision from Knowledge Graphs.

Alisa Smirnova, Julien Audiffren, Philippe Cudré-Mauroux

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Relation Extraction Using Distant Supervision: A Survey.

Alisa Smirnova, Philippe Cudré-Mauroux

ACM Comput. Surv., 2019

Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data.

Jie Yang, Alisa Smirnova, Dingqi Yang, Gianluca Demartini, Yuan Lu, Philippe Cudré-Mauroux

Proceedings of the World Wide Web Conference, 2019

APCNN: Tackling Class Imbalance in Relation Extraction through Aggregated Piecewise Convolutional Neural Networks.

Alisa Smirnova, Julien Audiffren, Philippe Cudré-Mauroux

Proceedings of the 6th Swiss Conference on Data Science, 2019