Enlarging the European Union: Taxation and Corruption in the New Member States

This paper addresses the run up to the recent European Union enlargement. It considers the accession of 10 Eastern European countries in view of the pre-existing economic conditions. The paper also raises the question how the new member states can tackle their deficit problems. In particular, the paper pays attention to the question at what point the emphasis should be placed on cutting expenditure rather than raising revenues. Furthermore, the paper addresses tax capacity and tax effort in the new member states. Finally, the paper looks at possible negative relationships between corruption and tax effort on the one hand and corruption and foreign direct investments on the other

Delexicalized Word Embeddings for Cross-lingual Dependency Parsing

International audienceThis paper presents a new approach to the problem of cross-lingual dependency parsing, aiming at leveraging training data from different source languages to learn a parser in a target language. Specifically , this approach first constructs word vector representations that exploit structural (i.e., dependency-based) contexts but only considering the morpho-syntactic information associated with each word and its contexts. These delexicalized word em-beddings, which can be trained on any set of languages and capture features shared across languages, are then used in combination with standard language-specific features to train a lexicalized parser in the target language. We evaluate our approach through experiments on a set of eight different languages that are part the Universal Dependencies Project. Our main results show that using such delexicalized embeddings, either trained in a monolin-gual or multilingual fashion, achieves significant improvements over monolingual baselines