The derivation of mathematical results in specialised fields using Large...
Whether Transformers can learn to apply symbolic rules and generalise to...
Rigorous evaluation of the causal effects of semantic features on langua...
Neural-based word embeddings using solely distributional information hav...
How can we interpret and retrieve medical evidence to support clinical
d...
This paper describes the results of SemEval 2023 task 7 – Multi-Evidence...
Probing strategies have been shown to detect the presence of various
lin...
Integer Linear Programming (ILP) provides a viable mechanism to encode
e...
A fundamental research goal for Explainable AI (XAI) is to build models ...
With the methodological support of probing (or diagnostic classification...
In the interest of interpreting neural NLI models and their reasoning
st...
Regenerating natural language explanations for science questions is a
ch...
Natural language contexts display logical regularities with respect to
s...
This paper describes N-XKT (Neural encoding based on eXplanatory Knowled...
Constrained optimization solvers with Integer Linear programming (ILP) h...
An emerging line of research in Explainable NLP is the creation of datas...
Probing (or diagnostic classification) has become a popular strategy for...
We propose a novel approach for answering and explaining multiple-choice...
This paper presents a systematic review of benchmarks and approaches for...
This paper presents an abductive framework for multi-hop and interpretab...
The paper presents a framework to reconstruct explanations for multiple
...
Machine Reading Comprehension (MRC) is the task of answering a question ...
Recent advances in reading comprehension have resulted in models that su...