research
∙
07/19/2023
Generating Mathematical Derivations with Large Language Models
The derivation of mathematical results in specialised fields using Large...
share
research
∙
05/21/2023
A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers
Whether Transformers can learn to apply symbolic rules and generalise to...
research
∙
05/15/2023
Estimating the Causal Effects of Natural Logic Features in Neural NLI Models
Rigorous evaluation of the causal effects of semantic features on langua...
research
∙
05/12/2023
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
Neural-based word embeddings using solely distributional information hav...
research
∙
05/05/2023
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports
How can we interpret and retrieve medical evidence to support clinical d...
research
∙
05/04/2023
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data
This paper describes the results of SemEval 2023 task 7 – Multi-Evidence...
research
∙
04/20/2023
Interventional Probing in High Dimensions: An NLI Case Study
Probing strategies have been shown to detect the presence of various lin...
research
∙
08/05/2022
Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers
Integer Linear Programming (ILP) provides a viable mechanism to encode e...
research
∙
05/03/2022
Scientific Explanation and Natural Language: A Unified Epistemological-Linguistic Perspective for Explainable AI
A fundamental research goal for Explainable AI (XAI) is to build models ...
research
∙
01/25/2022
Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language
With the methodological support of probing (or diagnostic classification...
research
∙
12/15/2021
Decomposing Natural Logic Inferences in Neural NLI
In the interest of interpreting neural NLI models and their reasoning st...
research
∙
07/25/2021
Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference
Regenerating natural language explanations for science questions is a ch...
research
∙
05/17/2021
Supporting Context Monotonicity Abstractions in Neural NLI Models
Natural language contexts display logical regularities with respect to s...
research
∙
05/12/2021
Encoding Explanatory Knowledge for Zero-shot Science Question Answering
This paper describes N-XKT (Neural encoding based on eXplanatory Knowled...
research
∙
05/07/2021
∂-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization
Constrained optimization solvers with Integer Linear programming (ILP) h...
research
∙
05/05/2021
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards
An emerging line of research in Explainable NLP is the creation of datas...
research
∙
04/12/2021
Does My Representation Capture X? Probe-Ably
Probing (or diagnostic classification) has become a popular strategy for...
research
∙
10/25/2020
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering
We propose a novel approach for answering and explaining multiple-choice...
research
∙
10/01/2020
A Survey on Explainability in Machine Reading Comprehension
This paper presents a systematic review of benchmarks and approaches for...
research
∙
09/30/2020
Explainable Natural Language Reasoning via Conceptual Unification
This paper presents an abductive framework for multi-hop and interpretab...
research
∙
03/31/2020
Unification-based Reconstruction of Explanations for Science Questions
The paper presents a framework to reconstruct explanations for multiple ...
research
∙
03/10/2020
A Framework for Evaluation of Machine Reading Comprehension Gold Standards
Machine Reading Comprehension (MRC) is the task of answering a question ...
research
∙
10/01/2019
