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Universal Dependency Annotation for Multilingual Parsing

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. 1

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Semi-supervised Autoencoding Projective Dependency Parsing

TL;DR: Two end-to-end autoencoding models for semi-supervised graph-based projective dependency parsing are described, showing that their models can exploit the unlabeled data to improve the performance given a limited amount of labeled data, and outperform a previously proposed semi- supervised model.
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OFrLex: A Computational Morphological and Syntactic Lexicon for Old French

TL;DR: A semi-automatic, word-embedding-based lexical enrichment process aimed at increasing the accuracy of the resource is described and evaluated, which will take advantage of OFrLex’s viewing, searching and editing interface.

Pronunciation Ambiguities in Japanese Kanji

Wen Zhang
TL;DR: This paper used logistic regression (LR) classifier for Japanese single kanji character homograph disambiguation and reported an experimental comparison with the LR classifier accuracy, and the annotated Japanese data is freely released to the public to support further work.

MultiVitaminBooster at PARSEME Shared Task 2020: Combining Window- and Dependency-Based Features with Multilingual Contextualised Word Embeddings for VMWE Detection

TL;DR: For example, MultiVitaminBooster as discussed by the authors used gradient boosting-based models to detect verbal multiword expressions and encoded tokens as feature vectors combining multilingual contextualized word embeddings provided by the XLM-RoBERTa language model.
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

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

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.
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