4 papers
FAST-MEL: A Fast, Accurate, and Storage Efficient Solution for Multimodal Entity Linking
Derrien Thomas, Laurent Amsaleg, Pascale Sébillot
Multimodal entity linking (MEL) is the task that consists of matching textual and visual mentions of entities in unstructured data to their corresponding entities in a knowledge ba…
A Study on Building Efficient Zero-Shot Relation Extraction Models
Hugo Thomas, Caio Corro, Guillaume Gravier +1
Zero-shot relation extraction aims to identify relations between entity mentions using textual descriptions of novel types (i.e., previously unseen) instead of labeled training exa…
A Study of the Plausibility of Attention between RNN Encoders in Natural Language Inference
Duc Hau Nguyen, Pascale Sébillot
Attention maps in neural models for NLP are appealing to explain the decision made by a model, hopefully emphasizing words that justify the decision. While many empirical studies h…
Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation
Duc Hau Nguyen, Cyrielle Mallart, Guillaume Gravier +1
Attention mechanism is contributing to the majority of recent advances in machine learning for natural language processing. Additionally, it results in an attention map that shows…