NLPExplorer

CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

Paper Details:

Month: August
Year: 2017
Location: Vancouver, Canada
Venue: CoNLL |
SIG: SIGNLL

Citations

URL

Valency-Augmented Dependency Parsing
Tianze Shi | Lillian Lee |

What do character-level models learn about morphology? The case of dependency parsing
Clara Vania | Andreas Grivas | Adam Lopez |

An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing
Aaron Smith | Miryam de Lhoneux | Sara Stymne | Joakim Nivre |

A Framework for Understanding the Role of Morphology in Universal Dependency Parsing
Mathieu Dehouck | Pascal Denis |

State-of-the-art Chinese Word Segmentation with Bi-LSTMs
Ji Ma | Kuzman Ganchev | David Weiss |

Modeling Input Uncertainty in Neural Network Dependency Parsing
Rob van der Goot | Gertjan van Noord |

Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task
Timothy Dozat | Peng Qi | Christopher D. Manning |

Combining Global Models for Parsing Universal Dependencies
Tianze Shi | Felix G. Wu | Xilun Chen | Yao Cheng |

IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks
Anders Björkelund | Agnieszka Falenska | Xiang Yu | Jonas Kuhn |

Adversarial Training for Cross-Domain Universal Dependency Parsing
Motoki Sato | Hitoshi Manabe | Hiroshi Noji | Yuji Matsumoto |

Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe
Milan Straka | Jana Straková |

UParse: the Edinburgh system for the CoNLL 2017 UD shared task
Clara Vania | Xingxing Zhang | Adam Lopez |

Multi-Model and Crosslingual Dependency Analysis
Johannes Heinecke | Munshi Asadullah |

The parse is darc and full of errors: Universal dependency parsing with transition-based and graph-based algorithms
Kuan Yu | Pavel Sofroniev | Erik Schill | Erhard Hinrichs |

A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing
Dat Quoc Nguyen | Mark Dras | Mark Johnson |

LIMSI@CoNLL’17: UD Shared Task
Lauriane Aufrant | Guillaume Wisniewski | François Yvon |

RACAI’s Natural Language Processing pipeline for Universal Dependencies
Stefan Daniel Dumitrescu | Tiberiu Boros | Dan Tufis |

Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks
Ayan Das | Affan Zaffar | Sudeshna Sarkar |

A Transition-based System for Universal Dependency Parsing
Hao Wang | Hai Zhao | Zhisong Zhang |

Corpus Selection Approaches for Multilingual Parsing from Raw Text to Universal Dependencies
Ryan Hornby | Clark Taylor | Jungyeul Park |

CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later
Christophe Moor | Paola Merlo | James Henderson | Haozhou Wang |

A Fast and Lightweight System for Multilingual Dependency Parsing
Tao Ji | Yuanbin Wu | Man Lan |

The ParisNLP entry at the ConLL UD Shared Task 2017: A Tale of a #ParsingTragedy
Éric de La Clergerie | Benoît Sagot | Djamé Seddah |

A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task
Hiroshi Kanayama | Masayasu Muraoka | Katsumasa Yoshikawa |

Corpus-Driven Thematic Hierarchy Induction
Ilia Kuznetsov | Iryna Gurevych |

CEA LIST: Processing Low-Resource Languages for CoNLL 2018
Elie Duthoo | Olivier Mesnard |

Semi-Supervised Neural System for Tagging, Parsing and Lematization
Piotr Rybak | Alina Wróblewska |

Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing
Zuchao Li | Shexia He | Zhuosheng Zhang | Hai Zhao |

Multilingual Universal Dependency Parsing from Raw Text with Low-Resource Language Enhancement
Yingting Wu | Hai Zhao | Jia-Jun Tong |

An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing
Dat Quoc Nguyen | Karin Verspoor |

Universal Dependency Parsing with a General Transition-Based DAG Parser
Daniel Hershcovich | Omri Abend | Ari Rappoport |

Universal Dependency Parsing from Scratch
Peng Qi | Timothy Dozat | Yuhao Zhang | Christopher D. Manning |

NLP-Cube: End-to-End Raw Text Processing With Neural Networks
Tiberiu Boros | Stefan Daniel Dumitrescu | Ruxandra Burtica |

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 | Reut Tsarfaty |

SParse: Koç University Graph-Based Parsing System for the CoNLL 2018 Shared Task
Berkay Önder | Can Gümeli | Deniz Yuret |

A Morphology-Based Representation Model for LSTM-Based Dependency Parsing of Agglutinative Languages
Şaziye Betül Özateş | Arzucan Özgür | Tunga Güngör | Balkız Öztürk |

A Simple yet Effective Joint Training Method for Cross-Lingual Universal Dependency Parsing
Danlu Chen | Mengxiao Lin | Zhifeng Hu | Xipeng Qiu |

Diacritics Restoration Using Neural Networks
Jakub Náplava | Milan Straka | Pavel Straňák | Jan Hajič |

Parse Me if You Can: Artificial Treebanks for Parsing Experiments on Elliptical Constructions
Kira Droganova | Daniel Zeman | Jenna Kanerva | Filip Ginter |

Building Universal Dependency Treebanks in Korean
Jayeol Chun | Na-Rae Han | Jena D. Hwang | Jinho D. Choi |

Universal Dependencies for Ainu
Hajime Senuma | Akiko Aizawa |

The Morpho-syntactic Annotation of Animacy for a Dependency Parser
Mohammed Attia | Vitaly Nikolaev | Ali Elkahky |

Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses
Katherine Keith | Su Lin Blodgett | Brendan O’Connor |

Sentences with Gapping: Parsing and Reconstructing Elided Predicates
Sebastian Schuster | Joakim Nivre | Christopher D. Manning |

A Transition-Based Algorithm for Unrestricted AMR Parsing
David Vilares | Carlos Gómez-Rodríguez |

A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling
Ying Lin | Shengqi Yang | Veselin Stoyanov | Heng Ji |

Twitter Universal Dependency Parsing for African-American and Mainstream American English
Su Lin Blodgett | Johnny Wei | Brendan O’Connor |

Global Transition-based Non-projective Dependency Parsing
Carlos Gómez-Rodríguez | Tianze Shi | Lillian Lee |

Generating Sentences by Editing Prototypes
Kelvin Guu | Tatsunori B. Hashimoto | Yonatan Oren | Percy Liang |

A Dependency Treebank for Kurmanji Kurdish
Memduh Gökırmak | Francis M. Tyers |

A Universal Dependencies Treebank for Marathi
Vinit Ravishankar |

Dependency Parsing of Code-Switching Data with Cross-Lingual Feature Representations
Niko Partanen | Kyungtae Lim | Michael Rießler | Thierry Poibeau |

A neural parser as a direct classifier for head-final languages
Hiroshi Kanayama | Masayasu Muraoka | Ryosuke Kohita |

Sub-label dependencies for Neural Morphological Tagging – The Joint Submission of University of Colorado and University of Helsinki for VarDial 2018
Miikka Silfverberg | Senka Drobac |

Iterative development of family history annotation guidelines using a synthetic corpus of clinical text
Taraka Rama | Pål Brekke | Øystein Nytrø | Lilja Øvrelid |

Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing
Kaja Dobrovoljc | Matej Martinc |

UD-Japanese BCCWJ: Universal Dependencies Annotation for the Balanced Corpus of Contemporary Written Japanese
Mai Omura | Masayuki Asahara |

Extended and Enhanced Polish Dependency Bank in Universal Dependencies Format
Alina Wróblewska |

Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning
Xiang Yu | Ngoc Thang Vu | Jonas Kuhn |

Underspecified Universal Dependency Structures as Inputs for Multilingual Surface Realisation
Simon Mille | Anja Belz | Bernd Bohnet | Leo Wanner |

Field Of Study

Linguistic Trends

Embeddings Morphology

Task

Morphological Analysis Tagging Word Segmentation

Language

Multilingual Chinese English Hindi Urdu Japanese Korean Spanish French Arabic Hebrew

Dataset

Web Crawl

Similar Papers

Natural Language Processing for Dialectical Arabic: A Survey

Abdulhadi Shoufan | Sumaya Alameri |

Enriching Word Vectors with Subword Information

Piotr Bojanowski | Edouard Grave | Armand Joulin | Tomas Mikolov |

Creating a Large Multi-Layered Representational Repository of Linguistic Code Switched Arabic Data

Semi-supervised Structured Prediction with Neural CRF Autoencoder

A Survey of Arabic Named Entity Recognition and Classification

Khaled Shaalan |