Schedule of the Universal Dependencies Shared Task session within CoNLL 2018

The Shared Task occupies one 90-minute slot during the CoNLL 2018 conference, held at EMNLP 2018 in Brussels, Belgium. The timing of the slot is

• Wednesday, October 31, 9:00-10:30

There will be two overview talks and three teaser talks of the winning teams, immediately followed by a poster session nearby, which can spill out to the morning coffee break scheduled for 10:30-11:00. Poster size: The poster boards for the workshops will be the same as the main conference ones. The boards will be 1m wide and 2.50m tall (= approx. 3.28 feet wide and 8.20 feet high). [EDIT: The EMNLP workshop chairs changed the originally announced poster size. The new maximum is 91cm wide and 122cm tall.] These boards will comfortably fit an A0 poster in portrait mode. Materials for affixing the posters to the boards will be provided.

Program

9:00-9:45 Talks

• 9:00-9:20 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
• 9:20-9:30 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
• 9:30-9:35 Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation
  Wanxiang Che, Yijia Liu, Yuxuan Wang, Bo Zheng and Ting Liu (HIT-SCIR)
• 9:35-9:40 UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task
  Milan Straka (UDPipe Future)
• 9:40-9:45 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 (TurkuNLP)

9:45-10:30(-11:00) Posters

Please note that the poster session will take place in Grand Hall, not in the room assigned to CoNLL.

• 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