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The 16th International Conference on Parsing Technologies


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