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ORCID22nd CoNLL 2018: Brussels, Belgium - Shared Task
- Daniel Zeman, Jan Hajic:
Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Brussels, Belgium, October 31 - November 1, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-82-7 - Daniel Zeman
, Jan Hajic, Martin Popel, Martin Potthast, Milan Straka, Filip Ginter, Joakim Nivre, Slav Petrov:
CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. 1-21 - Murhaf Fares, Stephan Oepen, Lilja Øvrelid, Jari Björne, Richard Johansson:
The 2018 Shared Task on Extrinsic Parser Evaluation: On the Downstream Utility of English Universal Dependency Parsers. 22-33 - Elie Duthoo, Olivier Mesnard:
CEA LIST: Processing Low-Resource Languages for CoNLL 2018. 34-44 - Piotr Rybak, Alina Wróblewska:
Semi-Supervised Neural System for Tagging, Parsing and Lematization. 45-54 - Wanxiang Che, Yijia Liu, Yuxuan Wang, Bo Zheng, Ting Liu:
Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation. 55-64 - Zuchao Li, Shexia He, Zhuosheng Zhang, Hai Zhao:
Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing. 65-73 - Yingting Wu, Hai Zhao, Jia-Jun Tong:
Multilingual Universal Dependency Parsing from Raw Text with Low-Resource Language Enhancement. 74-80 - Dat Quoc Nguyen, Karin Verspoor:
An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing. 81-91 - Hui Wan, Tahira Naseem, Young-Suk Lee, Vittorio Castelli, Miguel Ballesteros:
IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing. 92-102 - Daniel Hershcovich, Omri Abend, Ari Rappoport:
Universal Dependency Parsing with a General Transition-Based DAG Parser. 103-112 - Aaron Smith, Bernd Bohnet, Miryam de Lhoneux, Joakim Nivre, Yan Shao, Sara Stymne:
82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models. 113-123 - Ömer Kirnap, Erenay Dayanik, Deniz Yuret:
Tree-Stack LSTM in Transition Based Dependency Parsing. 124-132 - Jenna Kanerva, Filip Ginter, Niko Miekka, Akseli Leino, Tapio Salakoski:
Turku Neural Parser Pipeline: An End-to-End System for the CoNLL 2018 Shared Task. 133-142 - Kyungtae Lim, Cheon-Eum Park, Changki Lee, Thierry Poibeau:
SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations. 143-152 - Riyaz Ahmad Bhat, Irshad Bhat, Srinivas Bangalore:
The SLT-Interactions Parsing System at the CoNLL 2018 Shared Task. 153-159 - Peng Qi, Timothy Dozat, Yuhao Zhang, Christopher D. Manning:
Universal Dependency Parsing from Scratch. 160-170 - Tiberiu Boros, Stefan Daniel Dumitrescu, Ruxandra Burtica:
NLP-Cube: End-to-End Raw Text Processing With Neural Networks. 171-179 - Gor Arakelyan, Karen Hambardzumyan, Hrant Khachatrian:
Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks. 180-186 - Rudolf Rosa, David Marecek:
CUNI x-ling: Parsing Under-Resourced Languages in CoNLL 2018 UD Shared Task. 187-196 - Milan Straka:
UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task. 197-207 - Amit Seker, Amir More, Reut Tsarfaty:
Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task. 208-215 - Berkay Furkan Önder, Can Gümeli, Deniz Yuret:
SParse: Koç University Graph-Based Parsing System for the CoNLL 2018 Shared Task. 216-222 - Ganesh Jawahar, Benjamin Muller, Amal Fethi, Louis Martin, Éric Villemonte de la Clergerie, Benoît Sagot, Djamé Seddah:
ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing. 223-237 - Saziye Betül Özates, Arzucan Özgür, Tunga Gungor, Balkiz Öztürk:
A Morphology-Based Representation Model for LSTM-Based Dependency Parsing of Agglutinative Languages. 238-247 - Tao Ji, Yufang Liu, Yijun Wang, Yuanbin Wu, Man Lan:
AntNLP at CoNLL 2018 Shared Task: A Graph-Based Parser for Universal Dependency Parsing. 248-255 - Danlu Chen, Mengxiao Lin, Zhifeng Hu, Xipeng Qiu:
A Simple yet Effective Joint Training Method for Cross-Lingual Universal Dependency Parsing. 256-263
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