3 papers
cs.CL2021
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction
Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten +1
State-of-the-art NLP models can adopt shallow heuristics that limit their generalization capability (McCoy et al., 2019). Such heuristics include lexical overlap with the training…
cs.LG2021
Towards Rigorous Interpretations: a Formalisation of Feature Attribution
Darius Afchar, Romain Hennequin, Vincent Guigue
Feature attribution is often loosely presented as the process of selecting a subset of relevant features as a rationale of a prediction. Task-dependent by nature, precise definitio…
cs.CL2020
Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization
Bruno Taillé, Vincent Guigue, Patrick Gallinari
Contextualized embeddings use unsupervised language model pretraining to compute word representations depending on their context. This is intuitively useful for generalization, esp…