Open AccessProceedings Article
Universal Dependency Annotation for Multilingual Parsing
Ryan McDonald,Joakim Nivre,Yvonne Quirmbach-Brundage,Yoav Goldberg,Dipanjan Das,Kuzman Ganchev,Keith Hall,Slav Petrov,Hao Zhang,Oscar Täckström,Claudia Bedini,Núria Bertomeu Castelló,Jungmee Lee +12 more
- Vol. 2, pp 92-97
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TLDR
A new collection of treebanks with homogeneous syntactic dependency annotation for six languages: German, English, Swedish, Spanish, French and Korean is presented, made freely available in order to facilitate research on multilingual dependency parsing.Abstract:
We present a new collection of treebanks with homogeneous syntactic dependency annotation for six languages: German, English, Swedish, Spanish, French and Korean. To show the usefulness of such a resource, we present a case study of crosslingual transfer parsing with more reliable evaluation than has been possible before. This ‘universal’ treebank is made freely available in order to facilitate research on multilingual dependency parsing. 1read more
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Dissertation
Deep learning applications for transition-based dependency parsing
TL;DR: This thesis shows that using Recurrent Neural Network hidden layers, initialised with pretrained weights from a feed forward network, provides significant accuracy improvements, and examines the best parser architecture, which is shown to be separate classifiers for dependency parsing and labelling, with a shared input layer.
Posted Content
Cross-Lingual Adaptation Using Universal Dependencies
Nasrin Taghizadeh,Heshaam Faili +1 more
TL;DR: This paper proposed a cross-lingual adaptation method based on syntactic parse trees obtained from the Universal Dependencies (UD), which are consistent across languages, to develop classifiers in low-resource languages.
Annotation Issues in Universal Dependencies for Korean and Japanese
TL;DR: In this article, the authors investigate issues that arise in the process of developing a Universal Dependency (UD) treebank for Korean and Japanese, and review the application of UPOS and DEPREL schemes to the two languages.
Posted Content
Multilingual Irony Detection with Dependency Syntax and Neural Models.
Alessandra Teresa Cignarella,Valerio Basile,Manuela Sanguinetti,Cristina Bosco,Paolo Rosso,Farah Benamara +5 more
TL;DR: In this paper, the authors investigated the effectiveness of dependency-based syntactic features on irony detection task in a multilingual perspective (English, Spanish, French, and Italian) and found that fine-grained dependency based syntactic information is informative for the detection of irony.
Journal ArticleDOI
Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging
TL;DR: A neural conditional random field autoencoder (CRF-AE) model for unsupervised POS tagging, inspired by feature-rich HMM, which outperforms previous state-of-the-art models on Penn Treebank and multilingual Universal Dependencies treebank v2.0.
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ReportDOI
Building a large annotated corpus of English: the penn treebank
TL;DR: As a result of this grant, the researchers have now published on CDROM a corpus of over 4 million words of running text annotated with part-of- speech (POS) tags, which includes a fully hand-parsed version of the classic Brown corpus.
Proceedings ArticleDOI
Accurate Unlexicalized Parsing
Dan Klein,Christopher D. Manning +1 more
TL;DR: It is demonstrated that an unlexicalized PCFG can parse much more accurately than previously shown, by making use of simple, linguistically motivated state splits, which break down false independence assumptions latent in a vanilla treebank grammar.
Proceedings Article
Generating Typed Dependency Parses from Phrase Structure Parses
TL;DR: A system for extracting typed dependency parses of English sentences from phrase structure parses that captures inherent relations occurring in corpus texts that can be critical in real-world applications is described.
Proceedings ArticleDOI
CoNLL-X Shared Task on Multilingual Dependency Parsing
Sabine Buchholz,Erwin Marsi +1 more
TL;DR: How treebanks for 13 languages were converted into the same dependency format and how parsing performance was measured is described and general conclusions about multi-lingual parsing are drawn.
Proceedings ArticleDOI
The Stanford Typed Dependencies Representation
TL;DR: This paper examines the Stanford typed dependencies representation, which was designed to provide a straightforward description of grammatical relations for any user who could benefit from automatic text understanding, and considers the underlying design principles of the Stanford scheme.