Schedule of the Universal Dependencies Shared Task session within CoNLL 2017

The Shared Task occupies one 90-minute slot during the CoNLL 2017 conference, held at ACL 2017 in Vancouver, Canada. The timing of the slot is

• Thursday, August 3, 2:00-3:30pm

There will be three talks (the task overview talk, the winners’ talks) immediately followed by a poster session nearby, which can spill out to the afternoon coffee break scheduled for 3:30-4:00pm.

Program

2:00-2:45 Talks

• 2:00-2:15 CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
  Daniel Zeman, Martin Popel, Milan Straka, Jan Hajic, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinkova, Jan Hajic jr., Jaroslava Hlavacova, Václava Kettnerová, Zdenka Uresova, 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 dePaiva, Kira Droganova, Héctor Martínez Alonso, Çağrı Çöltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, 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 Mendonca, Tatiana Lando, Rattima Nitisaroj and Josie Li
• 2:15-2:30 Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task
  Timothy Dozat, Peng Qi and Christopher D. Manning
• 2:30-2:45 Combining Global Models for Parsing Universal Dependencies
  Tianze Shi, Felix G. Wu, Xilun Chen and Yao Cheng

2:45-3:30(-4:00) Posters

• Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task
  Timothy Dozat, Peng Qi and Christopher D. Manning
• Combining Global Models for Parsing Universal Dependencies
  Tianze Shi, Felix G. Wu, Xilun Chen and Yao Cheng
• IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks
  Anders Björkelund, Agnieszka Falenska, Xiang Yu and Jonas Kuhn
• The HIT-SCIR System for End-to-End Parsing of Universal Dependencies
  Wanxiang Che, Jiang Guo, Yuxuan Wang, Bo Zheng, Huaipeng Zhao, Yang Liu, Dechuan Teng and Ting Liu
• A System for Multilingual Dependency Parsing based on Bidirectional LSTM Feature Representations
  KyungTae Lim and Thierry Poibeau
• Adversarial Training for Cross-Domain Universal Dependency Parsing
  Motoki Sato, Hitoshi Manabe, Hiroshi Noji and Yuji Matsumoto
• Parsing with Context Embeddings
  Ömer Kırnap, Berkay Furkan Önder and Deniz Yuret
• Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe
  Milan Straka and Jana Straková
• UParse: the Edinburgh system for the CoNLL 2017 UD shared task
  Clara Vania, Xingxing Zhang and Adam Lopez
• Multi-Model and Crosslingual Dependency Analysis
  Johannes Heinecke and Munshi Asadullah
• TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing
  Jenna Kanerva, Juhani Luotolahti and Filip Ginter
• The parse is darc and full of errors: Universal dependency parsing with transition-based and graph-based algorithms
  Kuan Yu, Pavel Sofroniev, Erik Schill and Erhard Hinrichs
• A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing
  Dat Quoc Nguyen, Mark Dras and Mark Johnson
• A non-DNN Feature Engineering Approach to Dependency Parsing – FBAML at CoNLL 2017 Shared Task
  Xian Qian and Yang Liu
• A non-projective greedy dependency parser with bidirectional LSTMs
  David Vilares and Carlos Gómez-Rodríguez
• LIMSI@CoNLL’17: UD Shared Task
  Lauriane Aufrant, Guillaume Wisniewski and François Yvon
• RACAI’s Natural Language Processing pipeline for Universal Dependencies
  Stefan Daniel Dumitrescu, Tiberiu Boroş and Dan Tufiş
• Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks
  Ayan Das, Affan Zaffar and Sudeshna Sarkar
• A Transition-based System for Universal Dependency Parsing
  Hao Wang, Hai Zhao and Zhisong Zhang
• Corpus Selection Approaches for Multilingual Parsing from Raw Text to Universal Dependencies
  Ryan Hornby, Clark Taylor and Jungyeul Park
• From Raw Text to Universal Dependencies - Look, No Tags!
  Miryam de Lhoneux, Yan Shao, Ali Basirat, Eliyahu Kiperwasser, Sara Stymne, Yoav Goldberg and Joakim Nivre
• Initial Explorations of CCG Supertagging for Universal Dependency Parsing
  Burak Kerim Akkuş, Heval Azizoglu and Ruket Cakici
• CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later
  Christophe Moor, Paola Merlo, James Henderson and Haozhou Wang
• A Fast and Lightweight System for Multilingual Dependency Parsing
  Tao Ji, Yuanbin Wu and Man Lan
• The ParisNLP entry at the ConLL UD Shared Task 2017: A Tale of a #ParsingTragedy
  Eric De La Clergerie, Benoît Sagot and Djamé Seddah
• Universal Joint Morph-Syntactic Processing: The Open University of Israel’s Submission to The CoNLL 2017 Shared Task
  Amir More and Reut Tsarfaty
• A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task
  Hiroshi Kanayama, Masayasu Muraoka and Katsumasa Yoshikawa
• A rule-based system for cross-lingual parsing of Romance languages with Universal Dependencies
  Marcos Garcia and Pablo Gamallo