フォロー
Kazutoshi Shinoda
Kazutoshi Shinoda
NTT Human Informatics Laboratories, NTT Corporation
確認したメール アドレス: ntt.com - ホームページ
タイトル
引用先
引用先
Multi-style generative reading comprehension
K Nishida, I Saito, K Nishida, K Shinoda, A Otsuka, H Asano, J Tomita
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
962019
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation
K Shinoda, S Sugawara, A Aizawa
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
15*2021
Can Question Generation Debias Question Answering Models? A Case Study on Question–Context Lexical Overlap
K Shinoda, S Sugawara, A Aizawa
Proceedings of the 3rd Workshop on Machine Reading for Question Answering, 2021
102021
Automatic Generation of Review Matrices as Multi-document Summarization of Scientific Papers.
H Hashimoto, K Shinoda, H Yokono, A Aizawa
BIRNDL@ SIGIR (1), 69-82, 2017
92017
Query-focused Scientific Paper Summarization with Localized Sentence Representation.
K Shinoda, A Aizawa
BIRNDL@ SIGIR, 24-31, 2018
82018
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering
K Shinoda, S Sugawara, A Aizawa
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting …, 2022
62022
Nii table linker at the ntcir-15 data search task: Re-ranking with pre-trained contextualized embeddings, data content, entity-centric, and cluster-based approaches
P Nguyen, K Shinoda, T Sakamoto, DA Petrescu, HN Tran, A Takasu, ...
Proceedings of the NTCIR-15 Conference, 2020
52020
Which Shortcut Solution Do Question Answering Models Prefer to Learn?
K Shinoda, S Sugawara, A Aizawa
Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023
32023
NII Table Linker at the NTCIR-15 Data Search Task
P Nguyen, K Shinoda, T Sakamoto, DA Petrescu, HN Tran, A Takasu, ...
Proceedings of the NTCIR-15 Conference, 2020
12020
Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering
K Shinoda, S Sugawara, A Aizawa
Workshop on Knowledge Augmented Methods for NLP at AAAI 2023, 2023
2023
Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following
K Shinoda, Y Takezawa, M Suzuki, Y Iwasawa, Y Matsuo
Proceedings of the 29th Internatinal Conference on Multimedia Modeling, 2023
2023
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