research
∙
08/07/2023
Towards Controllable Natural Language Inference through Lexical Inference Types
Explainable natural language inference aims to provide a mechanism to pr...
share
research
∙
05/12/2023
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
Neural-based word embeddings using solely distributional information hav...
research
∙
05/02/2023
Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks
Disentangling sentence representations over continuous spaces can be a c...
research
∙
02/09/2023
Analysis of business process automation as linear time-invariant system network
In this work, we examined Business Process (BP) production as a signal; ...
research
∙
10/12/2022
Quasi-symbolic explanatory NLI via disentanglement: A geometrical examination
Disentangling the encodings of neural models is a fundamental aspect for...
research
∙
10/03/2022
Estimating productivity gains in digital automation
This paper proposes a novel productivity estimation model to evaluate th...
research
∙
06/04/2017
Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities
Legal professionals worldwide are currently trying to get up-to-pace wit...
research
∙
09/03/2016
