Language Generation with Multi-hop Reasoning on Commonsense Knowledge Graph
暂无分享,去创建一个
Furu Wei | Minlie Huang | Xiaoyan Zhu | Pei Ke | Shaohan Huang | Haozhe Ji | Furu Wei | Minlie Huang | Xiaoyan Zhu | Shaohan Huang | Pei Ke | Haozhe Ji
[1] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[2] J. Fleiss. Measuring nominal scale agreement among many raters. , 1971 .
[3] Jason Weston,et al. Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.
[4] Doug Downey,et al. Abductive Commonsense Reasoning , 2019, ICLR.
[5] Hung-yi Lee,et al. DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs , 2019, EMNLP.
[6] Yejin Choi,et al. COMET: Commonsense Transformers for Automatic Knowledge Graph Construction , 2019, ACL.
[7] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[8] Zhen-Hua Ling,et al. Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models , 2019, ArXiv.
[9] Max Welling,et al. Modeling Relational Data with Graph Convolutional Networks , 2017, ESWC.
[10] Yue Zhang,et al. Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation , 2019, ACL.
[11] Nicola De Cao,et al. Question Answering by Reasoning Across Documents with Graph Convolutional Networks , 2018, NAACL.
[12] Wenhu Chen,et al. Variational Knowledge Graph Reasoning , 2018, NAACL.
[13] Ilya Sutskever,et al. Language Models are Unsupervised Multitask Learners , 2019 .
[14] Xiaoyan Zhu,et al. Commonsense Knowledge Aware Conversation Generation with Graph Attention , 2018, IJCAI.
[15] Catherine Havasi,et al. Representing General Relational Knowledge in ConceptNet 5 , 2012, LREC.
[16] Christopher D. Manning,et al. Get To The Point: Summarization with Pointer-Generator Networks , 2017, ACL.
[17] Xiang Ren,et al. KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning , 2019, EMNLP.
[18] Lei Li,et al. Enhancing Topic-to-Essay Generation with External Commonsense Knowledge , 2019, ACL.
[19] Nathanael Chambers,et al. A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories , 2016, NAACL.
[20] Nan Duan,et al. Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering , 2019, AAAI.
[21] Alexander J. Smola,et al. Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning , 2017, ICLR.
[22] Chin-Yew Lin,et al. ROUGE: A Package for Automatic Evaluation of Summaries , 2004, ACL 2004.
[23] Yejin Choi,et al. ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning , 2019, AAAI.
[24] Diego Marcheggiani,et al. Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling , 2017, EMNLP.
[25] Minlie Huang,et al. Story Ending Generation with Incremental Encoding and Commonsense Knowledge , 2018, AAAI.
[26] Hang Li,et al. “ Tony ” DNN Embedding for “ Tony ” Selective Read for “ Tony ” ( a ) Attention-based Encoder-Decoder ( RNNSearch ) ( c ) State Update s 4 SourceVocabulary Softmax Prob , 2016 .
[27] Quoc V. Le,et al. A Simple Method for Commonsense Reasoning , 2018, ArXiv.
[28] Razvan Pascanu,et al. Overcoming catastrophic forgetting in neural networks , 2016, Proceedings of the National Academy of Sciences.
[29] Seungwhan Moon,et al. OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs , 2019, ACL.
[30] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[31] Minlie Huang,et al. A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation , 2020, TACL.
[32] Richard Socher,et al. Multi-Hop Knowledge Graph Reasoning with Reward Shaping , 2018, EMNLP.
[33] Lei Li,et al. Dynamically Fused Graph Network for Multi-hop Reasoning , 2019, ACL.
[34] Pietro Liò,et al. Graph Attention Networks , 2017, ICLR.
[35] Mohit Bansal,et al. Commonsense for Generative Multi-Hop Question Answering Tasks , 2018, EMNLP.
[36] Alon Lavie,et al. METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments , 2005, IEEvaluation@ACL.
[37] Zheng-Yu Niu,et al. Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs , 2019, EMNLP.
[38] Jianfeng Gao,et al. A Diversity-Promoting Objective Function for Neural Conversation Models , 2015, NAACL.
[39] C. Lawrence Zitnick,et al. CIDEr: Consensus-based image description evaluation , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).