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Yang Zhao, Hiroshi Kanayama, Issei Yoshida, Masayasu Muraoka and Akiko Aizawa: “A Simple Yet Effective Corpus Construction Method for Chinese Sentence Compression.” The 13th Language Resources and Evaluation Conference (LREC 2022),pp. 6874‑6883. Marseille, France, June 21-23, 2022.
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Takuto Asakura, Yusuke Miyao and Akiko Aizawa: “Building Dataset for Grounding of Formulae — Annotating Coreference Relations Among Math Identifiers.” The 13th Language Resources and Evaluation Conference (LREC 2022), pp.4851‑4858. Marseille, France, June 21-23, 2022.
- André Greiner-Petter, Howard S. Cohl, Abdou Youssef, Moritz Schubotz, Avi Trost, Rajen Dey, Akiko Aizawa, Bela Gipp: “Comparative Verification of the Digital Library of Mathematical Functions and Computer Algebra Systems.” Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2022) pp.87-105, March 2022 link
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Masaya Ohagi and Akiko Aizawa: “Pre-trained transformer-based citation context-aware citation network embeddings.” The 22nd ACM/IEEE Joint Conference on Digital Libraries (JCDL ’22). Article 18, 1–5. Cologne Germany and Online. July 20-24, 2022.
https://doi.org/10.1145/3529372.3533290
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Przemyslaw Joniak and Akiko Aizawa: “Gender Biases and Where to Find Them: Exploring Gender Bias in Pre-Trained Transformer-based Language Models Using Movement Pruning.” The 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP), collocated with NAACL 2022. Seattle, USA and Online, July 15, 2022.
https://aclanthology.org/2022.gebnlp-1.6/