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ORCID16th IWPT 2020: Online Conference
- Gosse Bouma, Yuji Matsumoto, Stephan Oepen, Kenji Sagae, Djamé Seddah, Weiwei Sun, Anders Søgaard, Reut Tsarfaty, Dan Zeman:
Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, IWPT 2020, Online, July 9, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-11-8 - Paola Merlo:
Syntactic Parsing in Humans and Machines. - Mark Anderson
, Carlos Gómez-Rodríguez:
Distilling Neural Networks for Greener and Faster Dependency Parsing. 2-13 - Robin Kurtz, Stephan Oepen, Marco Kuhlmann:
End-to-End Negation Resolution as Graph Parsing. 14-24 - Agnieszka Falenska, Anders Björkelund, Jonas Kuhn:
Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era. 25-39 - Xiao Zhang, Dan Goldwasser:
Semi-supervised Parsing with a Variational Autoencoding Parser. 40-47 - Lifeng Jin, William Schuler:
Memory-bounded Neural Incremental Parsing for Psycholinguistic Prediction. 48-61 - Zhifeng Hu, Serhii Havrylov, Ivan Titov, Shay B. Cohen:
Obfuscation for Privacy-preserving Syntactic Parsing. 62-72 - Esma Balkir, Daniel Gildea, Shay B. Cohen:
Tensors over Semirings for Latent-Variable Weighted Logic Programs. 73-90 - Kilian Gebhardt:
Advances in Using Grammars with Latent Annotations for Discontinuous Parsing. 91-97 - Richard Mörbitz, Thomas Ruprecht:
Lexicalization of Probabilistic Linear Context-free Rewriting Systems. 98-104 - Anhad Mohananey, Katharina Kann, Samuel R. Bowman:
Self-Training for Unsupervised Parsing with PRPN. 105-110 - Milos Stanojevic, Mark Steedman:
Span-Based LCFRS-2 Parsing. 111-121 - Tae Hwan Oh, Jiyoon Han, Hyonsu Choe, Seokwon Park, Han He, Jinho D. Choi, Na-Rae Han, Jena D. Hwang, Hansaem Kim:
Analysis of the Penn Korean Universal Dependency Treebank (PKT-UD): Manual Revision to Build Robust Parsing Model in Korean. 122-131 - Luis Chiruzzo, Dina Wonsever:
Statistical Deep Parsing for Spanish Using Neural Networks. 132-144 - Lifeng Jin, William Schuler:
The Importance of Category Labels in Grammar Induction with Child-directed Utterances. 145-150 - Gosse Bouma, Djamé Seddah, Daniel Zeman:
Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies. 151-161 - Jenna Kanerva, Filip Ginter, Sampo Pyysalo:
Turku Enhanced Parser Pipeline: From Raw Text to Enhanced Graphs in the IWPT 2020 Shared Task. 162-173 - Johannes Heinecke:
Hybrid Enhanced Universal Dependencies Parsing. 174-180 - Han He, Jinho D. Choi:
Adaptation of Multilingual Transformer Encoder for Robust Enhanced Universal Dependency Parsing. 181-191 - Mathieu Dehouck, Mark Anderson, Carlos Gómez-Rodríguez:
Efficient EUD Parsing. 192-205 - Giuseppe Attardi, Daniele Sartiano, Maria Simi:
Linear Neural Parsing and Hybrid Enhancement for Enhanced Universal Dependencies. 206-214 - Xinyu Wang, Yong Jiang, Kewei Tu:
Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data. 215-220 - Adam Ek, Jean-Philippe Bernardy:
How Much of Enhanced UD Is Contained in UD? 221-226 - James Barry, Joachim Wagner, Jennifer Foster:
The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task. 227-235 - Daniel Hershcovich, Miryam de Lhoneux, Artur Kulmizev, Elham Pejhan, Joakim Nivre:
Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding. 236-244 - Stefan Grünewald, Annemarie Friedrich:
RobertNLP at the IWPT 2020 Shared Task: Surprisingly Simple Enhanced UD Parsing for English. 245-252
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