Cross-lingual representations of words enable us to reason about word meaning in
multilingual contexts and are a key facilitator of cross-lingual transfer when develo** …

Cross-linguistically consistent annotation is necessary for sound comparative evaluation
and cross-lingual learning experiments. It is also useful for multilingual system development …

Vector space word representations are learned from distributional information of words in
large corpora. Although such statistics are semantically informative, they disregard the …

Medical sciences have long since established an ethics code for experiments, to minimize
the risk of harm to subjects. Natural language processing (NLP) used to involve mostly …

Viable cross-lingual transfer critically depends on the availability of parallel texts. Shortage
of such resources imposes a development and evaluation bottleneck in multilingual …

In cross-lingual transfer, NLP models over one or more source languages are applied to a
low-resource target language. While most prior work has used a single source model or a …

We present a new collection of treebanks with homogeneous syntactic dependency
annotation for six languages: German, English, Swedish, Spanish, French and Korean. To …

To facilitate future research in unsupervised induction of syntactic structure and to
standardize best-practices, we propose a tagset that consists of twelve universal part-of …

For languages with no annotated resources, unsupervised transfer of natural language
processing models such as named-entity recognition (NER) from resource-rich languages …

Cross-language learning allows us to use training data from one language to build models
for a different language. Many approaches to bilingual learning require that we have word …