Add to ORKGCurrent approaches to cross-language doc-ument retrieval and categorization are based on discriminative methods which represent documents in a low-dimensional vector space. In this paper we pro-pose a shift from the supervised to the knowledge-based paradigm and provide a document similarity measure which draws on BabelNet, a large multilingual knowl-edge resource. Our experiments show state-of-the-art results in cross-lingual document retrieval and categorization.
Bilingual or even polylingual word embeddings created many possibilities for tasks involving multipl...
In a multilingual scenario, the classical monolingual text categorization problem can be reformulate...
In this paper, we present a multilingual information retrieval system based on knowledge representat...
Current approaches to cross-language doc-ument retrieval and categorization are based on discriminat...
International audienceMultilingual document classification is often addressed by approaches that rel...
We present an approach to cross-language retrieval that combines dense knowledge-based features and ...
Cross-lingual document retrieval, which aims to take a query in one language to retrieve relevant do...
Text classification must sometimes be applied in a low-resource language with no labeled training da...
6th Italian Information Retrieval Workshop, Cagliari, ITA, 25-/05/2015 - 26/05/2015International aud...
We describe here the evaluation of a cross-language information retrieval tech-nique based on simila...
Cross-lingual information retrieval is a difficult task typically involving query translation into m...
In this paper, we study different applications of cross-language latent topic models trained on comp...
Cross-language Text Categorization is the task of assigning semantic classes to documents written i...
This article addresses the question of how to deal with text categorization when the set of document...
We describe a method for fully automated cross-language document retrieval in which no query transla...
Bilingual or even polylingual word embeddings created many possibilities for tasks involving multipl...
In a multilingual scenario, the classical monolingual text categorization problem can be reformulate...
In this paper, we present a multilingual information retrieval system based on knowledge representat...
Current approaches to cross-language doc-ument retrieval and categorization are based on discriminat...
International audienceMultilingual document classification is often addressed by approaches that rel...
We present an approach to cross-language retrieval that combines dense knowledge-based features and ...
Cross-lingual document retrieval, which aims to take a query in one language to retrieve relevant do...
Text classification must sometimes be applied in a low-resource language with no labeled training da...
6th Italian Information Retrieval Workshop, Cagliari, ITA, 25-/05/2015 - 26/05/2015International aud...
We describe here the evaluation of a cross-language information retrieval tech-nique based on simila...
Cross-lingual information retrieval is a difficult task typically involving query translation into m...
In this paper, we study different applications of cross-language latent topic models trained on comp...
Cross-language Text Categorization is the task of assigning semantic classes to documents written i...
This article addresses the question of how to deal with text categorization when the set of document...
We describe a method for fully automated cross-language document retrieval in which no query transla...
Bilingual or even polylingual word embeddings created many possibilities for tasks involving multipl...
In a multilingual scenario, the classical monolingual text categorization problem can be reformulate...
In this paper, we present a multilingual information retrieval system based on knowledge representat...