Add to ORKGInternational audienceCross-lingual Annotation Projection for Unsupervised Semantic Tagging. This work focuses on the development of linguistic analysis tools for resource-poor languages. In a previous study, we proposed a method based on cross-language projection of linguistic annotations from parallel corpora to automatically induce a morpho-syntactic analyzer. Our approach was based on Recurrent Neural Networks (RNNs). In this paper, we present an improvement of our neural model. We investigate the inclusion of external information (POS tags) in the neural network to train a multilingual SuperSenses Tagger. We demonstrate the validity and genericity of our method by using parallel corpora (obtained by manual or automatic translation). Ou...
International audienceWe propose a novel approach to cross-lingual part-of-speech tagging and depend...
Accurate natural language processing systems rely heavily on annotated datasets. In the absence of s...
Significant advances have been achieved in bilingual word-level alignment from comparable corpora, y...
International audienceCross-lingual Annotation Projection for Unsupervised Semantic Tagging. This wo...
International audienceIn this paper, we propose a method to automatically induce linguistic analysis...
International audienceThis work focuses on the rapid development of linguistic annotation tools for ...
This thesis focuses on the automatic construction of linguistic tools and resources for analyzing te...
International audienceIn this paper, we propose a novel approach to induce automatically a Part-Of-S...
Cette thèse porte sur la construction automatique d’outils et de ressources pour l’analyse linguisti...
International audienceThis article presents an attempt to apply efficient parsing methods based on r...
International audienceIn this paper, we describe our generic approach for transferring part-of-speec...
This thesis addresses the problem of creating linguistic taggers for resource-poor languages using e...
Being able to learn generic representations of objects such as images, words or sentences is essenti...
Nowadays, the majority of the services we benefit from, are provided online and their use is regulat...
U ovom radu istražuje se prijenosno učenje kroz više jezika s ciljem omogućavanja sintaktičke analiz...
International audienceWe propose a novel approach to cross-lingual part-of-speech tagging and depend...
Accurate natural language processing systems rely heavily on annotated datasets. In the absence of s...
Significant advances have been achieved in bilingual word-level alignment from comparable corpora, y...
International audienceCross-lingual Annotation Projection for Unsupervised Semantic Tagging. This wo...
International audienceIn this paper, we propose a method to automatically induce linguistic analysis...
International audienceThis work focuses on the rapid development of linguistic annotation tools for ...
This thesis focuses on the automatic construction of linguistic tools and resources for analyzing te...
International audienceIn this paper, we propose a novel approach to induce automatically a Part-Of-S...
Cette thèse porte sur la construction automatique d’outils et de ressources pour l’analyse linguisti...
International audienceThis article presents an attempt to apply efficient parsing methods based on r...
International audienceIn this paper, we describe our generic approach for transferring part-of-speec...
This thesis addresses the problem of creating linguistic taggers for resource-poor languages using e...
Being able to learn generic representations of objects such as images, words or sentences is essenti...
Nowadays, the majority of the services we benefit from, are provided online and their use is regulat...
U ovom radu istražuje se prijenosno učenje kroz više jezika s ciljem omogućavanja sintaktičke analiz...
International audienceWe propose a novel approach to cross-lingual part-of-speech tagging and depend...
Accurate natural language processing systems rely heavily on annotated datasets. In the absence of s...
Significant advances have been achieved in bilingual word-level alignment from comparable corpora, y...