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
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
Citations
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Proceedings ArticleDOI
Ten pairs to tag - Multilingual POS tagging via coarse mapping between embeddings
TL;DR: It is demonstrated that accurate multilingual partof-speech (POS) tagging can be done with just a few (e.g., ten) word translation pairs, and the generated tags are used to predict typological properties of languages, obtaining a 50% error reduction relative to the prototype model.
Journal ArticleDOI
Multilingual Projection for Parsing Truly Low-Resource Languages
Željko Agić,Anders Johannsen,Barbara Plank,Barbara Plank,Héctor Martínez Alonso,Héctor Martínez Alonso,Natalie Schluter,Anders Søgaard +7 more
TL;DR: This work proposes a novel approach to cross-lingual part-of-speech tagging and dependency parsing for truly low-resource languages that consistently provides top-level accuracies, close to established upper bounds, and outperforms several competitive baselines.
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Stack-Pointer Networks for Dependency Parsing
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Event Detection via Gated Multilingual Attention Mechanism
TL;DR: A novel multilingual approach — dubbed as Gated MultiLingual Attention (GMLATT) framework — to address the two issues simultaneously of data scarcity and monolingual ambiguity, which shows that this approach significantly outperforms state-of-the-art methods.
Book ChapterDOI
Towards a Universal Grammar for Natural Language Processing
TL;DR: The motivation behind the initiative, how the basic design principles follow from these requirements, and the different components of the annotation standard, including principles for word segmentation, morphological annotation, and syntactic annotation are discussed.
References
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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.