International audienceIn the present paper, we propose a simple en-dogenous method for enhancing a multilingual knowledge base through the cross-lingual semantic relation inference. It can be run on multilingual resources prior to semantic representation learning. Multilingual knowledge bases may integrate preexisting structured resources available for resource-rich languages. We aim at performing cross-lingual inference on them to improve the low resource language by creating semantic relationships
Assessing the semantic similarity between sentences in different languages is challenging. We approa...
We propose the first probabilistic approach to modeling cross-lingual semantic similarity (CLSS) in ...
Knowledge bases (KBs) are often greatly incomplete, necessitating a demand for KB completion. Althou...
International audienceIn the present paper, we propose a simple en-dogenous method for enhancing a m...
Parallel wordnets built upon correspondences between different languages can play a crucial role in ...
Rettinger A, Schumilin A, Thoma S, Ell B. Learning a Cross-Lingual Semantic Representation of Relati...
International audienceInferring semantic relations in a multilingual lexical semantic network. Endog...
We present a knowledge-rich approach to computing semantic relatedness which exploits the joint cont...
This paper discusses cross-lingual semantic relatedness using encyclopedic knowledge
Following the research line of lexico-semantic relation induction based on Language Models (LM) [4, ...
Creating a language-independent meaning representation would benefit many cross-lingual NLP tasks. W...
Data mining and knowledge engineering have become a tough task due to the availability of large amou...
Data mining and knowledge engineering have become a tough task due to the availability of large amou...
International audienceIdentifying the semantic relations that hold between words is of crucial impor...
An ontology is a knowledge-representation structure, where words, terms or concepts are defined by t...
Assessing the semantic similarity between sentences in different languages is challenging. We approa...
We propose the first probabilistic approach to modeling cross-lingual semantic similarity (CLSS) in ...
Knowledge bases (KBs) are often greatly incomplete, necessitating a demand for KB completion. Althou...
International audienceIn the present paper, we propose a simple en-dogenous method for enhancing a m...
Parallel wordnets built upon correspondences between different languages can play a crucial role in ...
Rettinger A, Schumilin A, Thoma S, Ell B. Learning a Cross-Lingual Semantic Representation of Relati...
International audienceInferring semantic relations in a multilingual lexical semantic network. Endog...
We present a knowledge-rich approach to computing semantic relatedness which exploits the joint cont...
This paper discusses cross-lingual semantic relatedness using encyclopedic knowledge
Following the research line of lexico-semantic relation induction based on Language Models (LM) [4, ...
Creating a language-independent meaning representation would benefit many cross-lingual NLP tasks. W...
Data mining and knowledge engineering have become a tough task due to the availability of large amou...
Data mining and knowledge engineering have become a tough task due to the availability of large amou...
International audienceIdentifying the semantic relations that hold between words is of crucial impor...
An ontology is a knowledge-representation structure, where words, terms or concepts are defined by t...
Assessing the semantic similarity between sentences in different languages is challenging. We approa...
We propose the first probabilistic approach to modeling cross-lingual semantic similarity (CLSS) in ...
Knowledge bases (KBs) are often greatly incomplete, necessitating a demand for KB completion. Althou...