July 9, 2020 |
| | 14:00 UTC–14:15 UTC Session 1: Invited Talk Q&A |
| | Syntactic Parsing in Humans and Machines
Paola Merlo |
| | 14:15 UTC–14:40 UTC Session 2: Regular Papers Q&A |
| | Distilling Neural Networks for Greener and Faster Dependency Parsing
Mark Anderson and Carlos Gómez-Rodríguez |
| | End-to-End Negation Resolution as Graph Parsing
Robin Kurtz, Stephan Oepen and Marco Kuhlmann |
| | Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era
Agnieszka Falenska, Anders Björkelund and Jonas Kuhn |
| | Semi-supervised Parsing with a Variational Autoencoding Parser
Xiao Zhang and Dan Goldwasser |
| | 14:40 UTC–15:00 UTC Session 3: Regular Papers Q&A |
| | Memory-bounded Neural Incremental Parsing for Psycholinguistic Prediction
Lifeng Jin and William Schuler |
| | Obfuscation for Privacy-preserving Syntactic Parsing
Zhifeng Hu, Serhii Havrylov, Ivan Titov and Shay B. Cohen |
| | Tensors over Semirings for Latent-Variable Weighted Logic Programs
Esma Balkir, Daniel Gildea and Shay B. Cohen |
| | 15:10 UTC–15:35 UTC Session 4: Regular Papers Q&A |
| | Advances in Using Grammars with Latent Annotations for Discontinuous Parsing
Kilian Gebhardt |
| | Lexicalization of Probabilistic Linear Context-free Rewriting Systems
Richard Mörbitz and Thomas Ruprecht |
| | Self-Training for Unsupervised Parsing with PRPN
Anhad Mohananey, Katharina Kann and Samuel R. Bowman |
| | Span-Based LCFRS-2 Parsing
Miloš Stanojević and Mark Steedman |
| | 15:35 UTC–16:00 UTC Session 5: Regular Papers Q&A |
| | Analysis of the Penn Korean Universal Dependency Treebank (PKT-UD): Manual Revision to Build Robust Parsing Model in Korean
Tae Hwan Oh, Ji Yoon Han, Hyonsu Choe, Seokwon Park, Han He, Jinho D. Choi, Na-Rae Han, Jena D. Hwang and Hansaem Kim |
| | Statistical Deep Parsing for Spanish Using Neural Networks
Luis Chiruzzo and Dina Wonsever |
| | The Importance of Category Labels in Grammar Induction with Child-directed Utterances
Lifeng Jin and William Schuler |
| | 16:10 UTC–17:00 UTC Session 6: Shared Task Q&A |
| | Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies
Gosse Bouma, Djamé Seddah and Daniel Zeman |
| | Turku Enhanced Parser Pipeline: From Raw Text to Enhanced Graphs in the IWPT 2020 Shared Task
Jenna Kanerva, Filip Ginter and Sampo Pyysalo |
| | Hybrid Enhanced Universal Dependencies Parsing
Johannes Heinecke |
| | Adaptation of Multilingual Transformer Encoder for Robust Enhanced Universal Dependency Parsing
Han He and Jinho D. Choi |
| | Efficient EUD Parsing
Mathieu Dehouck, Mark Anderson and Carlos Gómez-Rodríguez |
| | Linear Neural Parsing and Hybrid Enhancement for Enhanced Universal Dependencies
Giuseppe Attardi, Daniele Sartiano and Maria Simi |
| | Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data
Xinyu Wang, Yong Jiang and Kewei Tu |
| | How Much of Enhanced UD Is Contained in UD?
Adam Ek and Jean-Philippe Bernardy |
| | The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task
James Barry, Joachim Wagner and Jennifer Foster |
| | Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding
Daniel Hershcovich, Miryam de Lhoneux, Artur Kulmizev, Elham Pejhan and Joakim Nivre |
| | RobertNLP at the IWPT 2020 Shared Task: Surprisingly Simple Enhanced UD Parsing for English
Stefan Grünewald and Annemarie Friedrich |