Rigorous evaluation of the causal effects of semantic features on language model predictions can be hard to achieve for natural language reasoning problems. However, this …
In the interest of interpreting neural NLI models and their reasoning strategies, we carry out a systematic probing study which investigates whether these models capture the crucial …
Example-based learning for Natural Language Understanding (NLU) tasks has been a long- standing goal of Artificial Intelligence (AI) and has seen major success as machine learning …
The EnnCore project addresses the fundamental security problem of guaranteeing safety, transparency, and robustness in neural-based architectures. Specifically, EnnCore aims at …
1.1 Motivation Example-based learning for Natural Language Understanding (NLU) tasks such as Question Answering (QA) and Natural Language Inference (NLI) has been a …