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CoNLL - 2017
Total Papers:- 89
Total Papers accross all years:- 1554
Total Citations :- 442
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Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information
Massimo Nicosia |
Alessandro Moschitti |
Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits
Quanzhi Li |
Sameena Shah |
Optimizing Differentiable Relaxations of Coreference Evaluation Metrics
Phong Le |
Ivan Titov |
Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection
Mans Hulden |
If you can’t beat them, join them: the University of Alberta system description
Garrett Nicolai |
Bradley Hauer |
Mohammad Motallebi |
Saeed Najafi |
Grzegorz Kondrak |
Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Jan Hajič |
Dan Zeman |
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 non-DNN Feature Engineering Approach to Dependency Parsing – FBAML at CoNLL 2017 Shared Task
Xian Qian |
Yang Liu |
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 |
From Raw Text to Universal Dependencies - Look, No Tags!
Miryam de Lhoneux |
Yan Shao |
Ali Basirat |
Eliyahu Kiperwasser |
Sara Stymne |
Yoav Goldberg |
Joakim Nivre |
CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later
Christophe Moor |
Paola Merlo |
James Henderson |
Haozhou Wang |
Universal Joint Morph-Syntactic Processing: The Open University of Israel’s Submission to The CoNLL 2017 Shared Task
Amir More |
Reut Tsarfaty |
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)
Roger Levy |
Lucia Specia |
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