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Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

Chairs
Daniel Zeman
Jan Hajič

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pdf bib Front matter pages
pdf bib 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 		pp. 1‑21
pdf bib 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 		pp. 22‑33
pdf bib CEA LIST: Processing Low-Resource Languages for CoNLL 2018
Elie Duthoo and Olivier Mesnard 		pp. 34‑44
pdf bib Semi-Supervised Neural System for Tagging, Parsing and Lematization
Piotr Rybak and Alina Wróblewska 		pp. 45‑54
pdf bib Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation
Wanxiang Che, Yijia Liu, Yuxuan Wang, Bo Zheng and Ting Liu 		pp. 55‑64
pdf bib Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing
Zuchao Li, Shexia He, Zhuosheng Zhang and Hai Zhao 		pp. 65‑73
pdf bib Multilingual Universal Dependency Parsing from Raw Text with Low-Resource Language Enhancement
Yingting Wu, Hai Zhao and Jia-Jun Tong 		pp. 74‑80
pdf bib An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing
Dat Quoc Nguyen and Karin Verspoor 		pp. 81‑91
pdf bib IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing
Hui Wan, Tahira Naseem, Young-Suk Lee, Vittorio Castelli and Miguel Ballesteros 		pp. 92‑102
pdf bib Universal Dependency Parsing with a General Transition-Based DAG Parser
Daniel Hershcovich, Omri Abend and Ari Rappoport 		pp. 103‑112
pdf bib 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 		pp. 113‑123
pdf bib Tree-Stack LSTM in Transition Based Dependency Parsing
Ömer Kırnap, Erenay Dayanık and Deniz Yuret 		pp. 124‑132
pdf bib 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 		pp. 133‑142
pdf bib SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations
KyungTae Lim, Cheoneum Park, Changki Lee and Thierry Poibeau 		pp. 143‑152
pdf bib The SLT-Interactions Parsing System at the CoNLL 2018 Shared Task
Riyaz A. Bhat, Irshad Bhat and Srinivas Bangalore 		pp. 153‑159
pdf bib Universal Dependency Parsing from Scratch
Peng Qi, Timothy Dozat, Yuhao Zhang and Christopher D. Manning 		pp. 160‑170
pdf bib NLP-Cube: End-to-End Raw Text Processing With Neural Networks
Tiberiu Boroș, Stefan Daniel Dumitrescu and Ruxandra Burtica 		pp. 171‑179
pdf bib Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks
Gor Arakelyan, Karen Hambardzumyan and Hrant Khachatrian 		pp. 180‑186
pdf bib CUNI x-ling: Parsing Under-Resourced Languages in CoNLL 2018 UD Shared Task
Rudolf Rosa and David Mareček 		pp. 187‑196
pdf bib UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task
Milan Straka 		pp. 197‑207
pdf bib 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 		pp. 208‑215
pdf bib SParse: Koç University Graph-Based Parsing System for the CoNLL 2018 Shared Task
Berkay Önder, Can Gümeli and Deniz Yuret 		pp. 216‑222
pdf bib 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 		pp. 223‑237
pdf bib A Morphology-Based Representation Model for LSTM-Based Dependency Parsing of Agglutinative Languages
Şaziye Betül Özateş, Arzucan Özgür, Tunga Gungor and Balkız Öztürk 		pp. 238‑247
pdf bib 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 		pp. 248‑255
pdf bib A Simple yet Effective Joint Training Method for Cross-Lingual Universal Dependency Parsing
Danlu Chen, Mengxiao Lin, Zhifeng Hu and Xipeng Qiu 		pp. 256‑263

Last modified on September 11, 2018, 6:39 a.m.