2022年発表文献

学会誌

  • André Greiner-Petter, Moritz Schubotz, Corinna Breitinger, Philipp Scharpf, Akiko Aizawa, and Bela Gipp: “Do the Math: Making Mathematics in Wikipedia Computable.” In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–12. 2022. [link]

査読付き会議論文

  • Kazutoshi Shinoda, Saku Sugawara, and Akiko Aizawa: “Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering.” The AAAI-23 Workshop on Knowledge Augmented Methods for NLP (KnowledgeNLP). Washington, DC, USA. February 13, 2023. (accepted)
  • Kazutoshi Shinoda, Saku Sugawara, and Akiko Aizawa: “Which Shortcut Solution Do Question Answering Models Prefer to Learn?” In Proceedings of the 37th AAAI conference on Artificial Intelligence (AAAI). Washington, DC, USA. February 7-14, 2023. (accepted)
  • Thanakrit Julavanich and Akiko Aizawa: “Measuring Text-to-SQL Semantic Parsing Model on the Question Generalizability.” 2022 6th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2022), Bangkok, Thailand. December 16-18, 2022. (accepted)
  • An Dao, Akiko Aizawa and Yuji Matsumoto: ” Named Entity Recognition on COVID-19 Scientific Papers. ” 2022 6th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2022), Bangkok, Thailand. December 16-18, 2022. (accepted)
  • Kazutoshi Shinoda, Saku Sugawara, and Akiko Aizawa: “Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering.” The fifth BlackboxNLP: Analysing and interpreting neural networks for NLP, to be held at EMNLP 2022. Abu Dhabi, UAE and Online. December 8, 2022. (accepted)
  • Johannes Mario Meissner, Saku Sugawara, Akiko Aizawa: “Debiasing Masks: A New Framework for Shortcut Mitigation in NLU.” The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Abu Dhabi, UAE and Online. December 7-11, 2022. (accepted)
  • Hongkuan Zhang, Saku Sugawara, Akiko Aizawa, Lei Zhou, Ryohei Sasano, Koichi Takeda: “Cross-Modal Similarity-Based Curriculum Learning for Image Captioning.” The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 short paper), Abu Dhabi, UAE and Online. December 7-11, 2022. (accepted)
  • Xanh Ho, Saku Sugawara, Akiko Aizawa; “How Well Do Multi-hop Reading Comprehension Models Understand Date Information?.” The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2022 short paper), Nov 22-29, 2022. (accepted)
  • Moritz Schubotz, Ankit Satpute, André Greiner-Petter, Akiko Aizawa, and Bela Gipp: “Caching and Reproducibility: Making Data Science Experiments Faster and FAIRer.” In: Frontiers in Research Metrics and Analytics, 7: 861944. April 2022. [link]
  • Kaito Sugimoto and Akiko Aizawa; “Incorporating the Rhetoric of Scientific Language into Sentence Embeddings using Phrase-guided Distant Supervision and Metric Learning.” Third Workshop on Scholarly Document Processing (SDP 2022), Workshop at COLING 2022. Gyeongju, Korea. October 17, 2022.
  • 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. [link]
  • 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. [link]
  • 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. [link]
  • 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. [link]
  • 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]

その他

  • Taichi Iki and Akiko Aizawa: “Do BERTs Learn to Use Browser User Interface? Exploring Multi-Step Tasks with Unified Vision-and-Language BERTs.” arXiv: 2203.07828, 2022. [link]
  • Xanh Ho, Johannes Mario Meissner, Saku Sugawara, and Akiko Aizawa: “A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension.” arXiv:2209.01824, 2022. [link]
  • 阪本拓功, 相澤彰子: “k近傍言語モデルを用いたテキスト中の数字の予測.” 人工知能学会全国大会論文集 第36回全国大会 (JSAI2022), 京都国際会館 (京都)+オンライン.
    https://www.jstage.jst.go.jp/article/pjsai/JSAI2022/0/JSAI2022_4D3GS605/_article/-char/ja
  • 篠田一聡, 菅原朔, 相澤彰子: “抽出型質問応答における相対位置バイアスの除去.” 言語処理学会第28回年次大会(NLP2022), オンライン開催, 2022.03.
  • 朝倉卓人, 宮尾祐介, 相澤彰子: “MioGattoによる数式グラウンディングデータセットの構築.” 言語処理学会第28回年次大会(NLP2022), オンライン開催, 2022.03.委員特別賞
  • 大萩雅也, 相澤彰子: “Pre-trained Transformerによる引用文脈を考慮した引用ネットワーク埋め込み.” 言語処理学会第28回年次大会(NLP2022), オンライン開催, 2022.03.若手奨励賞
  • 鈴木淳平, 菅原朔, 相澤彰子: “言語モデルに対するトークンのキャンセルアウト手法の比較.” 言語処理学会第28回年次大会(NLP2022), オンライン開催, 2022.03.