The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies
Mihai Surdeanu,Richard Johansson,Adam Meyers,Lluís Màrquez,Joakim Nivre +4 more
- pp 159-177
TLDR
This shared task not only unifies the shared tasks of the previous four years under a unique dependency-based formalism, but also extends them significantly: this year's syntactic dependencies include more information such as named-entity boundaries; the semantic dependencies model roles of both verbal and nominal predicates.Citations
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A Survey of the Usages of Deep Learning for Natural Language Processing
TL;DR: The field of natural language processing has been propelled forward by an explosion in the use of deep learning models over the last several years as mentioned in this paper, which includes several core linguistic processing issues in addition to many applications of computational linguistics.
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CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes
TL;DR: The OntoNotes annotation (coreference and other layers) is described and the parameters of the shared task including the format, pre-processing information, evaluation criteria, and presents and discusses the results achieved by the participating systems.
Proceedings ArticleDOI
The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages
Jan Hajiċ,Massimiliano Ciaramita,Richard Johansson,Daisuke Kawahara,Maria Antònia Martí,Lluís Màrquez,Adam Meyers,Joakim Nivre,Sebastian Padó,Jan Štėpánek,Pavel Straňák,Mihai Surdeanu,Nianwen Xue,Yi Zhang +13 more
TL;DR: This shared task combines the shared tasks of the previous five years under a unique dependency-based formalism similar to the 2008 task and describes how the data sets were created and show their quantitative properties.
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Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
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Dependency Parsing
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References
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WordNet : an electronic lexical database
TL;DR: The lexical database: nouns in WordNet, Katherine J. Miller a semantic network of English verbs, and applications of WordNet: building semantic concordances are presented.
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Building a large annotated corpus of English: the penn treebank
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Introduction to the CoNLL-2003 shared task: language-independent named entity recognition
TL;DR: The CoNLL-2003 shared task on NER as mentioned in this paper was the first NER task with language-independent named entity recognition (NER) data sets and evaluation method, and a general overview of the systems that participated in the task and their performance.
Journal ArticleDOI
The Proposition Bank: An Annotated Corpus of Semantic Roles
TL;DR: An automatic system for semantic role tagging trained on the corpus is described and the effect on its performance of various types of information is discussed, including a comparison of full syntactic parsing with a flat representation and the contribution of the empty trace categories of the treebank.