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Found 6 papers, 1 papers with code
Contribution d’informations syntaxiques aux capacités de généralisation compositionelle des modèles seq2seq convolutifs (Assessing the Contribution of Syntactic Information for Compositional Generalization of seq2seq Convolutional Networks)
Le jeu de données SCAN, constitué d’un ensemble de commandes en langage naturel associées à des séquences d’action, a été spécifiquement conçu pour évaluer les capacités des réseaux de neurones à apprendre ce type de généralisation compositionnelle.
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval
On a wide range of natural language processing and information retrieval tasks, transformer-based models, particularly pre-trained language models like BERT, have demonstrated tremendous effectiveness.
Bag-of-Vector Embeddings of Dependency Graphs for Semantic Induction
We demonstrate the usefulness of this representation by training bag-of-vector embeddings of dependency graphs and evaluating them on unsupervised semantic induction for the Semantic Textual Similarity and Natural Language Inference tasks.
A Vector Space for Distributional Semantics for Entailment
Distributional semantics creates vector-space representations that capture many forms of semantic similarity, but their relation to semantic entailment has been less clear.
Un syst\`eme hybride pour l'analyse de sentiments associ\'es aux aspects
Nous pr{\'e}sentons la t{\^a}che et d{\'e}crivons pr{\'e}cis{\'e}ment notre syst{\`e}me qui consiste en une combinaison de composants linguistiques et de modules de classification.
