32 citations · 85 across the 50 of their papers we have counts for
5 papers · 1 filter
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering
Mokanarangan Thayaparan, Marco Valentino, André Freitas
We propose a novel approach for answering and explaining multiple-choice science questions by reasoning on grounding and abstract inference chains. This paper frames question answe…
A Survey on Explainability in Machine Reading Comprehension
Mokanarangan Thayaparan, Marco Valentino, André Freitas
This paper presents a systematic review of benchmarks and approaches for explainability in Machine Reading Comprehension (MRC). We present how the representation and inference chal…
Case-Based Abductive Natural Language Inference
Marco Valentino, Mokanarangan Thayaparan, André Freitas
Most of the contemporary approaches for multi-hop Natural Language Inference (NLI) construct explanations considering each test case in isolation. However, this paradigm is known t…
Unification-based Reconstruction of Multi-hop Explanations for Science Questions
Marco Valentino, Mokanarangan Thayaparan, André Freitas
This paper presents a novel framework for reconstructing multi-hop explanations in science Question Answering (QA). While existing approaches for multi-hop reasoning build explanat…
A Framework for Evaluation of Machine Reading Comprehension Gold Standards
Viktor Schlegel, Marco Valentino, André Freitas +2
Machine Reading Comprehension (MRC) is the task of answering a question over a paragraph of text. While neural MRC systems gain popularity and achieve noticeable performance, issue…