Rettinger A, Schumilin A, Thoma S, Ell B. Learning a Cross-Lingual Semantic Representation of Relations Expressed in Text. In: Proceedings of the 12th Extended Semantic Web Conference. ESWC 2015. Springer; 2015: 337-352
Traditional approaches to supervised learning require a generous amount of labeled data for good gen...
DoctorRelation extraction is the task of identifying semantic relationships between named entities i...
Recent advances in generating monolingual word embeddings based on word co-occurrence for universal ...
International audienceIn the present paper, we propose a simple en-dogenous method for enhancing a m...
International audienceAlthough looking for semantic relations in text has been the topic of a large ...
In this dissertation, we study computational models for classification and application of natural la...
In the modern era of deep learning, developing natural language processing (NLP) systems require lar...
Distributed representations of meaning are a natural way to encode covariance relationships between ...
Creating a language-independent meaning representation would benefit many cross-lingual NLP tasks. W...
Distributed representations of meaning are a natural way to encode covariance relationships between ...
This paper investigates cross-lingual textual entailment as a semantic relation between two text por...
An ontology is a knowledge-representation structure, where words, terms or concepts are defined by t...
Traditional approaches to supervised learning require a generous amount of labeled data for good gen...
Relations, after morphemes and words, are the next level of building blocks of language. To success-...
International audienceInferring semantic relations in a multilingual lexical semantic network. Endog...
Traditional approaches to supervised learning require a generous amount of labeled data for good gen...
DoctorRelation extraction is the task of identifying semantic relationships between named entities i...
Recent advances in generating monolingual word embeddings based on word co-occurrence for universal ...
International audienceIn the present paper, we propose a simple en-dogenous method for enhancing a m...
International audienceAlthough looking for semantic relations in text has been the topic of a large ...
In this dissertation, we study computational models for classification and application of natural la...
In the modern era of deep learning, developing natural language processing (NLP) systems require lar...
Distributed representations of meaning are a natural way to encode covariance relationships between ...
Creating a language-independent meaning representation would benefit many cross-lingual NLP tasks. W...
Distributed representations of meaning are a natural way to encode covariance relationships between ...
This paper investigates cross-lingual textual entailment as a semantic relation between two text por...
An ontology is a knowledge-representation structure, where words, terms or concepts are defined by t...
Traditional approaches to supervised learning require a generous amount of labeled data for good gen...
Relations, after morphemes and words, are the next level of building blocks of language. To success-...
International audienceInferring semantic relations in a multilingual lexical semantic network. Endog...
Traditional approaches to supervised learning require a generous amount of labeled data for good gen...
DoctorRelation extraction is the task of identifying semantic relationships between named entities i...
Recent advances in generating monolingual word embeddings based on word co-occurrence for universal ...