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ORCID21st CoNLL 2017: Vancouver, Canada - Shared Task
- Jan Hajic, Dan Zeman:
Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Vancouver, Canada, August 3-4, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-70-8 - Daniel Zeman
, Martin Popel, Milan Straka, Jan Hajic, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis M. Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinková, Jan Hajic Jr., Jaroslava Hlavácová, Václava Kettnerová, Zdenka Uresová, Jenna Kanerva, Stina Ojala, Anna Missilä, Christopher D. Manning, Sebastian Schuster, Siva Reddy, Dima Taji, Nizar Habash, Herman Leung, Marie-Catherine de Marneffe, Manuela Sanguinetti, Maria Simi, Hiroshi Kanayama, Valeria de Paiva, Kira Droganova, Héctor Martínez Alonso, Çagri Çöltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali El-Kahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Michael Mandl, Jesse Kirchner, Hector Fernandez Alcalde, Jana Strnadová, Esha Banerjee, Ruli Manurung, Antonio Stella, Atsuko Shimada, Sookyoung Kwak, Gustavo Mendonça, Tatiana Lando, Rattima Nitisaroj, Josie Li:
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. 1-19 - Timothy Dozat, Peng Qi, Christopher D. Manning:
Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task. 20-30 - Tianze Shi, Felix G. Wu, Xilun Chen, Yao Cheng:
Combining Global Models for Parsing Universal Dependencies. 31-39 - Anders Björkelund, Agnieszka Falenska, Xiang Yu, Jonas Kuhn:
IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks. 40-51 - Wanxiang Che, Jiang Guo, Yuxuan Wang, Bo Zheng, Huaipeng Zhao, Yang Liu, Dechuan Teng, Ting Liu:
The HIT-SCIR System for End-to-End Parsing of Universal Dependencies. 52-62 - Kyungtae Lim, Thierry Poibeau:
A System for Multilingual Dependency Parsing based on Bidirectional LSTM Feature Representations. 63-70 - Motoki Sato, Hitoshi Manabe, Hiroshi Noji, Yuji Matsumoto:
Adversarial Training for Cross-Domain Universal Dependency Parsing. 71-79 - Ömer Kirnap, Berkay Furkan Önder, Deniz Yuret:
Parsing with Context Embeddings. 80-87 - Milan Straka, Jana Straková:
Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe. 88-99 - Clara Vania, Xingxing Zhang, Adam Lopez:
UParse: the Edinburgh system for the CoNLL 2017 UD shared task. 100-110 - Johannes Heinecke, Munshi Asadullah:
Multi-Model and Crosslingual Dependency Analysis. 111-118 - Jenna Kanerva, Juhani Luotolahti, Filip Ginter:
TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing. 119-125 - Kuan Yu, Pavel Sofroniev, Erik Schill, Erhard W. Hinrichs:
The parse is darc and full of errors: Universal dependency parsing with transition-based and graph-based algorithms. 126-133 - Dat Quoc Nguyen, Mark Dras, Mark Johnson:
A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing. 134-142 - Xian Qian, Yang Liu:
A non-DNN Feature Engineering Approach to Dependency Parsing - FBAML at CoNLL 2017 Shared Task. 143-151 - David Vilares, Carlos Gómez-Rodríguez:
A non-projective greedy dependency parser with bidirectional LSTMs. 152-162 - Lauriane Aufrant, Guillaume Wisniewski, François Yvon:
LIMSI$@$CoNLL'17: UD Shared Task. 163-173 - Stefan Daniel Dumitrescu, Tiberiu Boros, Dan Tufis:
RACAI's Natural Language Processing pipeline for Universal Dependencies. 174-181 - Ayan Das, Affan Zaffar, Sudeshna Sarkar:
Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks. 182-190 - Hao Wang, Hai Zhao, Zhisong Zhang:
A Transition-based System for Universal Dependency Parsing. 191-197 - Ryan Hornby, Clark Taylor, Jungyeul Park:
Corpus Selection Approaches for Multilingual Parsing from Raw Text to Universal Dependencies. 198-206 - Miryam de Lhoneux, Yan Shao, Ali Basirat, Eliyahu Kiperwasser, Sara Stymne, Yoav Goldberg, Joakim Nivre:
From Raw Text to Universal Dependencies - Look, No Tags! 207-217 - Burak Kerim Akkus, Heval Azizoglu, Ruken Cakici:
Initial Explorations of CCG Supertagging for Universal Dependency Parsing. 218-227 - Christophe Moor, Paola Merlo, James Henderson, Haozhou Wang:
CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later. 228-236 - Tao Ji, Yuanbin Wu, Man Lan:
A Fast and Lightweight System for Multilingual Dependency Parsing. 237-242 - Éric Villemonte de la Clergerie, Benoît Sagot, Djamé Seddah:
The ParisNLP entry at the ConLL UD Shared Task 2017: A Tale of a #ParsingTragedy. 243-252 - Amir More, Reut Tsarfaty:
Universal Joint Morph-Syntactic Processing: The Open University of Israel's Submission to The CoNLL 2017 Shared Task. 253-264 - Hiroshi Kanayama, Masayasu Muraoka, Katsumasa Yoshikawa:
A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task. 265-273 - Marcos García, Pablo Gamallo:
A rule-based system for cross-lingual parsing of Romance languages with Universal Dependencies. 274-282
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