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Found 11 papers, 1 papers with code
Syntactic Nuclei in Dependency Parsing -- A Multilingual Exploration
Standard models for syntactic dependency parsing take words to be the elementary units that enter into dependency relations.
Cross-lingual Word Embeddings beyond Zero-shot Machine Translation
We explore the transferability of a multilingual neural machine translation model to unseen languages when the transfer is grounded solely on the cross-lingual word embeddings.
Cross-lingual Embeddings Reveal Universal and Lineage-Specific Patterns in Grammatical Gender Assignment
In both experiments, we predict the gender of nouns in language X using a classifier trained on the nouns of language Y, and take the classifier{'}s accuracy as a measure of transferability of gender systems.
An exploration of the encoding of grammatical gender in word embeddings
The grammatical gender of nouns is a typical classification of nouns based on their formal and semantic properties.
Word embedding and neural network on grammatical gender -- A case study of Swedish
We analyze the information provided by the word embeddings about the grammatical gender in Swedish.
Greedy Transition-Based Dependency Parsing with Discrete and Continuous Supertag Features
We study the effect of rich supertag features in greedy transition-based dependency parsing.
Principal Word Vectors
The effect of these generalizations on the word vectors is intrinsically studied with regard to the spread and the discriminability of the word vectors.
Shifted Randomized Singular Value Decomposition
With no loss in the accuracy of the original algorithm, the extended algorithm provides for a more efficient way of matrix factorization.
From Raw Text to Universal Dependencies - Look, No Tags!
We present the Uppsala submission to the CoNLL 2017 shared task on parsing from raw text to universal dependencies.
