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ORCIDAlisa Smirnova
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2020 – today
- 2024
[c8]Alisa Smirnova, Jie Yang, Philippe Cudré-Mauroux:
XCrowd: Combining Explainability and Crowdsourcing to Diagnose Models in Relation Extraction. CIKM 2024: 2097-2107- [c7]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:
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview. CLEF (2) 2024: 231-259 - [c6]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:
Overview of the Multilingual Text Detoxification Task at PAN 2024. CLEF (Working Notes) 2024: 2432-2461 - [c5]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:
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract. ECIR (6) 2024: 3-10 - 2023
- [j2]Alisa Smirnova
, Jie Yang, Dingqi Yang, Philippe Cudré-Mauroux:
Nessy: A Neuro-Symbolic System for Label Noise Reduction. IEEE Trans. Knowl. Data Eng. 35(8): 8300-8311 (2023) - [c4]Dmitry Ustalov, Nikita Pavlichenko, Daniil Likhobaba, Alisa Smirnova:
WSDM Cup 2023 Challenge on Visual Question Answering. CSW@WSDM 2023: 1-7 - [c3]Dmitry Ustalov, Alisa Smirnova, Natalia Fedorova, Nikita Pavlichenko:
Crowdsourcing for Information Retrieval. ECIR (3) 2023: 357-361 - [e1]Dmitry Ustalov, Saiph Savage, Niels van Berkel, Yang Liu, 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), Singapore, March 3, 2023. CEUR Workshop Proceedings 3357, CEUR-WS.org 2023 [contents] - [i1]Dmitry Ustalov, Nikita Pavlichenko, Sergey Koshelev, Daniil Likhobaba, Alisa Smirnova:
Toloka Visual Question Answering Benchmark. CoRR abs/2309.16511 (2023)
2010 – 2019
- 2019
- [j1]Alisa Smirnova, Philippe Cudré-Mauroux:
Relation Extraction Using Distant Supervision: A Survey. ACM Comput. Surv. 51(5): 106:1-106:35 (2019) - [c2]Alisa Smirnova, Julien Audiffren, Philippe Cudré-Mauroux:
APCNN: Tackling Class Imbalance in Relation Extraction through Aggregated Piecewise Convolutional Neural Networks. SDS 2019: 63-68 - [c1]Jie Yang, Alisa Smirnova, Dingqi Yang, Gianluca Demartini, Yuan Lu, Philippe Cudré-Mauroux:
Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data. WWW 2019: 2158-2168 - [r1]Alisa Smirnova, Julien Audiffren, Philippe Cudré-Mauroux:
Distant Supervision from Knowledge Graphs. Encyclopedia of Big Data Technologies 2019
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