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View article: Modeling Complex Semantics Relation with Contrastively Fine-Tuned Relational Encoders
Modeling Complex Semantics Relation with Contrastively Fine-Tuned Relational Encoders Open
International audience
View article: Reasoning over Data : Analogy-based and Transfer Learning to improve Machine Learning
Reasoning over Data : Analogy-based and Transfer Learning to improve Machine Learning Open
Recent years have seen a renewed interest in the potential of analogy detection and analogical inference, with successful applications in Machine Learning (ML) to the retrieval and generation of images, of text, and structured data such as…
View article: Some Perspectives on Similarity Learning for Case-Based Reasoning and Analogical Transfer
Some Perspectives on Similarity Learning for Case-Based Reasoning and Analogical Transfer Open
International audience
View article: Less is Better: An Energy-Based Approach to Case Base Competence
Less is Better: An Energy-Based Approach to Case Base Competence Open
International audience
View article: Proceedings of the 2nd Workshop Analogies: from Theory to Applications (ATA@ICCBR 2023): AR & CBR Tools for Metric and Representation Learning
Proceedings of the 2nd Workshop Analogies: from Theory to Applications (ATA@ICCBR 2023): AR & CBR Tools for Metric and Representation Learning Open
International audience
View article: Workshop Analogies: from Theory to Applications (ATA@ICCBR 2022)
Workshop Analogies: from Theory to Applications (ATA@ICCBR 2022) Open
International audience
View article: Solving morphological analogies: from retrieval to generation
Solving morphological analogies: from retrieval to generation Open
Analogical inference is a remarkable capability of human reasoning, and has been used to solve hard reasoning tasks. Analogy based reasoning (AR) has gained increasing interest from the artificial intelligence community and has shown its p…
View article: An analogy based framework for patient-stay identification in healthcare
An analogy based framework for patient-stay identification in healthcare Open
International audience
View article: Solving Morphological Analogies Through Generation
Solving Morphological Analogies Through Generation Open
International audience
View article: Transferring Learned Models of Morphological Analogy
Transferring Learned Models of Morphological Analogy Open
Funding Information: Experiments presented in this paper were carried out using computational clusters equipped with GPU from the Grid’5000 testbed (see https://www.grid5000.fr). This research was partially supported by TAILOR, a project f…
View article: Tackling Morphological Analogies Using Deep Learning -- Extended Version
Tackling Morphological Analogies Using Deep Learning -- Extended Version Open
Analogical proportions are statements of the form "A is to B as C is to D". They constitute an inference tool that provides a logical framework to address learning, transfer, and explainability concerns and that finds useful applications i…
View article: A Neural Approach for Detecting Morphological Analogies
A Neural Approach for Detecting Morphological Analogies Open
Analogical proportions are statements of the form "A is to B as C is to D"\nthat are used for several reasoning and classification tasks in artificial\nintelligence and natural language processing (NLP). For instance, there are\nanalogy ba…
View article: A Neural Approach for Detecting Morphological Analogies
A Neural Approach for Detecting Morphological Analogies Open
Analogical proportions are statements of the form "A is to B as C is to D" that are used for several reasoning and classification tasks in artificial intelligence and natural language processing (NLP). For instance, there are analogy based…
View article: Embedding Formal Contexts Using Unordered Composition
Embedding Formal Contexts Using Unordered Composition Open
International audience
View article: Exploring the Combination of Contextual Word Embeddings and Knowledge Graph Embeddings
Exploring the Combination of Contextual Word Embeddings and Knowledge Graph Embeddings Open
``Classical'' word embeddings, such as Word2Vec, have been shown to capture the semantics of words based on their distributional properties. However, their ability to represent the different meanings that a word may have is limited. Such a…