CoNLL 2019: all accepted papers
- Slot Tagging for Task Oriented Spoken Language Understanding in Human-to-Human Conversation Scenarios ↗Kunho Kim, Rahul Jha, Kyle Williams et al.3 citations
- TILM: Neural Language Models with Evolving Topical Influence ↗Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni, Chengxiang Zhai3 citations
- Window-Based Neural Tagging for Shallow Discourse Argument Labeling ↗René Knaebel, Manfred Stede, Sebastian Stober3 citations
- Comparing Top-Down and Bottom-Up Neural Generative Dependency Models ↗Austin Matthews, Graham Neubig, Chris Dyer2 citations
- Deconstructing Supertagging into Multi-Task Sequence Prediction ↗Zhenqi Zhu, Anoop Sarkar2 citations
- Multilingual Model Using Cross-Task Embedding Projection ↗Jin Sakuma, Naoki Yoshinaga2 citations
- Representation Learning and Dynamic Programming for Arc-Hybrid Parsing ↗Joseph Le Roux, Antoine Rozenknop, Mathieu Lacroix2 citations
- ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing ↗Xinyu Wang, Yixian Liu, Zixia Jia et al.2 citations
- Goal-Embedded Dual Hierarchical Model for Task-Oriented Dialogue Generation ↗Yi-An Lai, Arshit Gupta, Yi Zhang1 citation
- Improving Natural Language Understanding by Reverse Mapping Bytepair Encoding ↗Chaodong Tong, Huailiang Peng, Qiong Dai et al.1 citation
- SimVecs: Similarity-Based Vectors for Utterance Representation in Conversational AI Systems ↗Ashraf Mahgoub, Youssef Shahin, Riham Mansour et al.1 citation
- Unsupervised Neural Machine Translation with Future Rewarding ↗Xiangpeng Wei, Yue Hu, Luxi Xing et al.1 citation
- Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes ↗Noémien Kocher, Christian Scuito, Lorenzo Tarantino et al.
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