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Found 21 papers, 0 papers with code
A Multi-word Expression Dataset for Swedish
We present a new set of 96 Swedish multi-word expressions annotated with degree of (non-)compositionality.
Zero-shot transfer for implicit discourse relation classification
Automatically classifying the relation between sentences in a discourse is a challenging task, in particular when there is no overt expression of the relation.
Noisy Parallel Corpus Filtering through Projected Word Embeddings
We present a very simple method for parallel text cleaning of low-resource languages, based on projection of word embeddings trained on large monolingual corpora in high-resource languages.
Transparent text quality assessment with convolutional neural networks
We present a very simple model for text quality assessment based on a deep convolutional neural network, where the only supervision required is one corpus of user-generated text of varying quality, and one contrasting text corpus of consistently high quality.
Neural Networks and Spelling Features for Native Language Identification
We present the RUG-SU team{'}s submission at the Native Language Identification Shared Task 2017.
ResSim at SemEval-2017 Task 1: Multilingual Word Representations for Semantic Textual Similarity
Shared Task 1 at SemEval-2017 deals with assessing the semantic similarity between sentences, either in the same or in different languages.
Continuous multilinguality with language vectors
Most existing models for multilingual natural language processing (NLP) treat language as a discrete category, and make predictions for either one language or the other.
How Many Languages Can a Language Model Model?
One of the purposes of the VarDial workshop series is to encourage research into NLP methods that treat human languages as a continuum, by designing models that exploit the similarities between languages and variants.
A Bayesian model for joint word alignment and part-of-speech transfer
Current methods for word alignment require considerable amounts of parallel text to deliver accurate results, a requirement which is met only for a small minority of the world{'}s approximately 7, 000 languages.
