Accepted Papers

  • CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models. Abhinav Singh, Patrick Xia, Guanghui Qin, Mahsa Yarmohammadi, Benjamin Van Durme
  • Improving Joint Training of Inference Networks and Structured Prediction Energy Networks. Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel
  • On the Discrepancy between Density Estimation and Sequence Generation. Jason Lee, Dustin Tran, Orhan Firat, Kyunghyun Cho
  • Cascaded Text Generation with Markov Transformers . Yuntian Deng, Alexander Rush
  • Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner’s Perspective. Arindam Mitra, Sanjay Narayana, Chitta Baral
  • End-to-End Extraction of Structured Information from Business Documents with Pointer-Generator Networks. Clément Sage, Alex Aussem, Véronique Eglin, Haytham Elghazel, Jérémy Espinas
  • Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking. Anh Duong Trinh, Robert J. Ross, John D. Kelleher
  • Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations. Ke Tran, Ming Tan
  • Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations. Nikolaos Manginas, Ilias Chalkidis, Prodromos Malakasiotis
  • Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation. Sébastien Jean, Kyunghyun Cho
  • Randomized Deep Structured Prediction for Argumentation Mining. Manuel Widmoser, Maria Pacheco, Jean Honorio, Dan Goldwasser
  • Reading the Manual: Event Extraction as Definition Comprehension. Yunmo Chen, Tongfei Chen, Seth Ebner, Aaron Steven White, Benjamin Van Durme
  • Scaling Hidden Markov Language Models. Justin Chiu, Alexander Rush
  • Structured Prediction for Joint Class Cardinality and Entity Property Inference in Model-Complete Text Comprehension. Hendrik ter Horst, Philipp Cimiano
  • Syntactically restricted self-attention for Semantic Role Labeling. Zihao Deng, Sijia Wang, Brendan Juba
  • Syntax-driven Iterative Expansion Language Models for Controllable Text Generation. Noe Casas, José A. R. Fonollosa, Marta R. Costa-jussà

Findings of EMNLP papers to be presented at SPNLP

  • A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification. Federico López, Michael Strube
  • Multi^2OIE: Multilingual Open Information Extraction based on Multi-Head Attention with BERT. Youngbin Ro, Yukyung Lee, Pilsung Kang
  • Recurrent Inference in Text Editing. Ning Shi, Ziheng Zeng, Haotian Zhang, Yichen Gong
  • Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing. Ke Wang, Jiayi Wang, Niyu Ge, Yangbin Shi, Zhao Yu, Kai Fan
  • Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem. Shucheng Li, Lingfei Wu, Shiwei Feng, Fangli Xu, Fengyuan Xu, Sheng Zhong
  • An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text. Daivik Swarup, Ahsaas Bajaj, Sheshera Mysore, Tim O’Gorman, Rajarshi Das, Andrew McCallum
  • On Long-Tailed Phenomena in Neural Machine Translation. Vikas Raunak, Siddharth Dalmia, Vivek Gupta, Florian Metze
  • Graph-to-Graph Transformer for Transition-based Dependency Parsing. Alireza Mohammadshahi, James Henderson
  • An Empirical Investigation of Beam-Aware Training in Supertagging. Renato Negrinho, Matthew R. Gormley, Geoff Gordon