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Found 5 papers, 2 papers with code
Bridging Perception, Memory, and Inference through Semantic Relations
There is a growing consensus that surface form alone does not enable models to learn meaning and gain language understanding.
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness
Fairness is central to the ethical and responsible development and use of AI systems, with a large number of frameworks and formal notions of algorithmic fairness being available.
CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical Reasoning
We introduce CLEVR-Math, a multi-modal math word problems dataset consisting of simple math word problems involving addition/subtraction, represented partly by a textual description and partly by an image illustrating the scenario.
An Algebraic Approach to Learning and Grounding
The objective is to simultaneously fill in the missing algebraic operations in $\alg$ and ground the variables of every $\varphi_i$ in $O_i$, so that the combined value of the terms is optimised.
Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case
Semantic embeddings have advanced the state of the art for countless natural language processing tasks, and various extensions to multimodal domains, such as visual-semantic embeddings, have been proposed.
