| A Graph-to-Sequence Model for AMR-to-Text Generation L Song, Y Zhang, Z Wang, D Gildea Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 248 | 2018 |
| Sentence-State LSTM for Text Representation Y Zhang, Q Liu, L Song Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 231 | 2018 |
| N-ary relation extraction using graph state LSTM L Song, Y Zhang, Z Wang, D Gildea Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 168 | 2018 |
| Leveraging context information for natural question generation L Song, Z Wang, W Hamza, Y Zhang, D Gildea Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 132 | 2018 |
| Exploring graph-structured passage representation for multi-hop reading comprehension with graph neural networks L Song, Z Wang, M Yu, Y Zhang, R Florian, D Gildea arXiv preprint arXiv:1809.02040, 2018 | 116 | 2018 |
| Semantic Neural Machine Translation using AMR L Song, D Gildea, Y Zhang, Z Wang, J Su Transactions of the Association for Computational Linguistics 7, 19--31, 2019 | 108 | 2019 |
| A synchronous hyperedge replacement grammar based approach for AMR parsing X Peng, L Song, D Gildea Proceedings of the Nineteenth Conference on Computational Natural Language …, 2015 | 92 | 2015 |
| Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis J Tang, Z Lu, J Su, Y Ge, L Song, L Sun, J Luo Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 83 | 2019 |
| AMR-to-text generation with synchronous node replacement grammar L Song, X Peng, Y Zhang, Z Wang, D Gildea Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 60 | 2017 |
| A Unified Query-based Generative Model for Question Generation and Question Answering L Song, Z Wang, W Hamza arXiv preprint arXiv:1709.01058, 2017 | 58 | 2017 |
| Graph-based neural sentence ordering Y Yin, L Song, J Su, J Zeng, C Zhou, J Luo arXiv preprint arXiv:1912.07225, 2019 | 53 | 2019 |
| Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning M Xue, W Cai, J Su, L Song, Y Ge, Y Liu, B Wang IJCAI 2019, 2019 | 41 | 2019 |
| AMR-to-text generation as a Traveling Salesman Problem L Song, Y Zhang, X Peng, Z Wang, D Gildea Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 41 | 2016 |
| Structural information preserving for graph-to-text generation L Song, A Wang, J Su, Y Zhang, K Xu, Y Ge, D Yu arXiv preprint arXiv:2102.06749, 2021 | 35 | 2021 |
| Leveraging Dependency Forest for Neural Medical Relation Extraction L Song, Y Zhang, D Gildea, M Yu, Z Wang, J Su arXiv preprint arXiv:1911.04123, 2019 | 35 | 2019 |
| Coordinated reasoning for cross-lingual knowledge graph alignment K Xu, L Song, Y Feng, Y Song, D Yu Proceedings of the AAAI conference on artificial intelligence 34 (05), 9354-9361, 2020 | 33 | 2020 |
| Jointgt: Graph-text joint representation learning for text generation from knowledge graphs P Ke, H Ji, Y Ran, X Cui, L Wang, L Song, X Zhu, M Huang arXiv preprint arXiv:2106.10502, 2021 | 28 | 2021 |
| Semantic representation for dialogue modeling X Bai, Y Chen, L Song, Y Zhang arXiv preprint arXiv:2105.10188, 2021 | 25 | 2021 |
| SemBleu: A Robust Metric for AMR Parsing Evaluation L Song, D Gildea Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 25 | 2019 |
| Relation Extraction Exploiting Full Dependency Forests L Jin, L Song, Y Zhang, K Xu, W Ma, D Yu Proceedings of the Thirty-Fourth Conference on Association for the …, 2020 | 24 | 2020 |
Yue ZhangWestlake UniversityVerified email at wias.org.cn
