Knowledge base completion: Baselines strike back R Kadlec, O Bajgar, J Kleindienst arXiv preprint arXiv:1705.10744, 2017 | 118 | 2017 |
On the equivalence of holographic and complex embeddings for link prediction K Hayashi, M Shimbo arXiv preprint arXiv:1702.05563, 2017 | 64 | 2017 |
Complex and holographic embeddings of knowledge graphs: a comparison T Trouillon, M Nickel arXiv preprint arXiv:1707.01475, 2017 | 28 | 2017 |
Empirical comparison of dependency conversions for RST discourse trees K Hayashi, T Hirao, M Nagata Proceedings of the 17th Annual Meeting of the Special Interest Group on …, 2016 | 23 | 2016 |
Discriminative Preordering Meets Kendall’s 𝜏 Maximization Maximization S Hoshino, Y Miyao, K Sudoh, K Hayashi, M Nagata Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 23 | 2015 |
Efficient stacked dependency parsing by forest reranking K Hayashi, S Kondo, Y Matsumoto Transactions of the Association for Computational Linguistics 1, 139-150, 2013 | 18 | 2013 |
Parallel nonnegative CP decomposition of dense tensors G Ballard, K Hayashi, K Ramakrishnan 2018 IEEE 25th International Conference on High Performance Computing (HiPC …, 2018 | 17 | 2018 |
Shared-memory parallelization of MTTKRP for dense tensors K Hayashi, G Ballard, Y Jiang, MJ Tobia Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of …, 2018 | 15 | 2018 |
Third-order variational reranking on packed-shared dependency forests K Hayashi, T Watanabe, M Asahara, Y Matsumoto Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011 | 15 | 2011 |
Hierarchical phrase-based machine translation with word-based reordering model K Hayashi, H Tsukada, K Sudoh, K Duh, S Yamamoto Proceedings of the 23rd International Conference on Computational …, 2010 | 15 | 2010 |
Supervised attention for sequence-to-sequence constituency parsing H Kamigaito, K Hayashi, T Hirao, H Takamura, M Okumura, M Nagata Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 13 | 2017 |
Shift-reduce word reordering for machine translation K Hayashi, K Sudoh, H Tsukada, J Suzuki, M Nagata Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 13 | 2013 |
Learning of Linear Ordering Problems and its Application to JE Patent Translation in NTCIR-9 PatentMT. S Kondo, M Komachi, Y Matsumoto, K Sudoh, K Duh, H Tsukada NTCIR, 2011 | 12 | 2011 |
Higher-order syntactic attention network for longer sentence compression H Kamigaito, K Hayashi, T Hirao, M Nagata Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 9 | 2018 |
Neuro-SERKET: development of integrative cognitive system through the composition of deep probabilistic generative models T Taniguchi, T Nakamura, M Suzuki, R Kuniyasu, K Hayashi, A Taniguchi, ... New Generation Computing, 1-26, 2020 | 8 | 2020 |
Structural support vector machines for log-linear approach in statistical machine translation K Hayashi, T Watanabe, H Tsukada, H Isozaki nnnn, 2009 | 8 | 2009 |
Binarized knowledge graph embeddings K Kishimoto, K Hayashi, G Akai, M Shimbo, K Komatani European Conference on Information Retrieval, 181-196, 2019 | 7 | 2019 |
Ranking-based automatic seed selection and noise reduction for weakly supervised relation extraction VT Phi, J Santoso, M Shimbo, Y Matsumoto Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 7 | 2018 |
Data-dependent learning of symmetric/antisymmetric relations for knowledge base completion H Manabe, K Hayashi, M Shimbo Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 7 | 2018 |
An Empirical Comparison of Knowledge Graph Embeddings for Item Recommendation. E Palumbo, G Rizzo, R Troncy, E Baralis, M Osella, E Ferro Dl4kgs@ eswc, 14-20, 2018 | 6 | 2018 |