| | CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Daniel Zeman, Jan Hajič, Martin Popel, Martin Potthast, Milan Straka, Filip Ginter, Joakim Nivre and Slav Petrov |
| | The 2018 Shared Task on Extrinsic Parser Evaluation: On the Downstream Utility of English Universal Dependency Parsers
Murhaf Fares, Stephan Oepen, Lilja Øvrelid, Jari Björne and Richard Johansson |
| | CEA LIST: Processing Low-Resource Languages for CoNLL 2018
Elie Duthoo and Olivier Mesnard |
| | Semi-Supervised Neural System for Tagging, Parsing and Lematization
Piotr Rybak and Alina Wróblewska |
| | Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation
Wanxiang Che, Yijia Liu, Yuxuan Wang, Bo Zheng and Ting Liu |
| | Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing
Zuchao Li, Shexia He, Zhuosheng Zhang and Hai Zhao |
| | Multilingual Universal Dependency Parsing from Raw Text with Low-Resource Language Enhancement
Yingting Wu, Hai Zhao and Jia-Jun Tong |
| | An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing
Dat Quoc Nguyen and Karin Verspoor |
| | IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing
Hui Wan, Tahira Naseem, Young-Suk Lee, Vittorio Castelli and Miguel Ballesteros |
| | Universal Dependency Parsing with a General Transition-Based DAG Parser
Daniel Hershcovich, Omri Abend and Ari Rappoport |
| | 82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models
Aaron Smith, Bernd Bohnet, Miryam de Lhoneux, Joakim Nivre, Yan Shao and Sara Stymne |
| | Tree-Stack LSTM in Transition Based Dependency Parsing
Ömer Kırnap, Erenay Dayanık and Deniz Yuret |
| | Turku Neural Parser Pipeline: An End-to-End System for the CoNLL 2018 Shared Task
Jenna Kanerva, Filip Ginter, Niko Miekka, Akseli Leino and Tapio Salakoski |
| | SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations
KyungTae Lim, Cheoneum Park, Changki Lee and Thierry Poibeau |
| | The SLT-Interactions Parsing System at the CoNLL 2018 Shared Task
Riyaz A. Bhat, Irshad Bhat and Srinivas Bangalore |
| | Universal Dependency Parsing from Scratch
Peng Qi, Timothy Dozat, Yuhao Zhang and Christopher D. Manning |
| | NLP-Cube: End-to-End Raw Text Processing With Neural Networks
Tiberiu Boroș, Stefan Daniel Dumitrescu and Ruxandra Burtica |
| | Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks
Gor Arakelyan, Karen Hambardzumyan and Hrant Khachatrian |
| | CUNI x-ling: Parsing Under-Resourced Languages in CoNLL 2018 UD Shared Task
Rudolf Rosa and David Mareček |
| | UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task
Milan Straka |
| | Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task
Amit Seker, Amir More and Reut Tsarfaty |
| | SParse: Koç University Graph-Based Parsing System for the CoNLL 2018 Shared Task
Berkay Önder, Can Gümeli and Deniz Yuret |
| | ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing
Ganesh Jawahar, Benjamin Muller, Amal Fethi, Louis Martin, Eric Villemonte de la Clergerie, Benoît Sagot and Djamé Seddah |
| | A Morphology-Based Representation Model for LSTM-Based Dependency Parsing of Agglutinative Languages
Şaziye Betül Özateş, Arzucan Özgür, Tunga Gungor and Balkız Öztürk |
| | AntNLP at CoNLL 2018 Shared Task: A Graph-Based Parser for Universal Dependency Parsing
Tao Ji, Yufang Liu, Yijun Wang, Yuanbin Wu and Man Lan |
| | A Simple yet Effective Joint Training Method for Cross-Lingual Universal Dependency Parsing
Danlu Chen, Mengxiao Lin, Zhifeng Hu and Xipeng Qiu |