research
∙
08/27/2023
Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrations
The language ability of Large Language Models (LLMs) is often unbalanced...
share
research
∙
08/07/2023
Towards Controllable Natural Language Inference through Lexical Inference Types
Explainable natural language inference aims to provide a mechanism to pr...
research
∙
08/01/2023
Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions
Sentences that present a complex syntax act as a major stumbling block f...
research
∙
07/19/2023
Generating Mathematical Derivations with Large Language Models
The derivation of mathematical results in specialised fields using Large...
research
∙
05/28/2023
Large Language Models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery
Inferring over and extracting information from Large Language Models (LL...
research
∙
05/22/2023
Deep Clustering for Data Cleaning and Integration
Deep Learning (DL) techniques now constitute the state-of-the-art for im...
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
∙
05/02/2023
Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks
Disentangling sentence representations over continuous spaces can be a c...
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
∙
03/06/2023
On the Visualisation of Argumentation Graphs to Support Text Interpretation
The recent evolution in Natural Language Processing (NLP) methods, in pa...
research
∙
02/09/2023
Analysis of business process automation as linear time-invariant system network
In this work, we examined Business Process (BP) production as a signal; ...
research
∙
10/12/2022
Quasi-symbolic explanatory NLI via disentanglement: A geometrical examination
Disentangling the encodings of neural models is a fundamental aspect for...
research
∙
10/03/2022
Estimating productivity gains in digital automation
This paper proposes a novel productivity estimation model to evaluate th...
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
∙
08/02/2022
Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives
Entailment trees have been proposed to simulate the human reasoning proc...
research
∙
07/02/2022
Biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data
In this paper we provide a structured literature analysis focused on Dee...
research
∙
06/20/2022
Metareview-informed Explainable Cytokine Storm Detection during CAR-T cell Therapy
Cytokine release syndrome (CRS), also known as cytokine storm, is one of...
research
∙
05/30/2022
A Survey in Mathematical Language Processing
Informal mathematical text underpins real-world quantitative reasoning a...
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
∙
04/26/2022
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective
Metamorphic testing has recently been used to check the safety of neural...
research
∙
04/11/2022
Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making
This paper contributes with a pragmatic evaluation framework for explain...
research
∙
02/04/2022
Transformers and the representation of biomedical background knowledge
BioBERT and BioMegatron are Transformers models adapted for the biomedic...
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
∙
01/12/2022
PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics
In order for language models to aid physics research, they must first en...
research
∙
01/07/2022
Microeconomic Foundations of Decentralised Organisations
In this article, we analyse how decentralised digital infrastructures ca...
research
∙
12/15/2021
Decomposing Natural Logic Inferences in Neural NLI
In the interest of interpreting neural NLI models and their reasoning st...
research
∙
09/20/2021
A Survey of Text Games for Reinforcement Learning informed by Natural Language
Reinforcement Learning has shown success in a number of complex virtual ...
research
∙
09/17/2021
Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information?
Models designed for intelligent process automation are required to be ca...
research
∙
09/15/2021
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders
The ability of learning disentangled representations represents a major ...
research
∙
07/25/2021
Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference
Regenerating natural language explanations for science questions is a ch...
research
∙
07/16/2021
Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems
This paper proposes a novel statistical corpus analysis framework target...
research
∙
05/24/2021
Context-Preserving Text Simplification
We present a context-preserving text simplification (TS) approach that r...
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
∙
05/03/2021
Switching Contexts: Transportability Measures for NLP
This paper explores the topic of transportability, as a sub-area of gene...
research
∙
04/30/2021
Number and quality of diagrams in scholarly publications is associated with number of citations
Diagrams are often used in scholarly communication. We analyse a corpus ...
research
∙
04/30/2021
Scholarly AI system diagrams as an access point to mental models
Complex systems, such as Artificial Intelligence (AI) systems, are compr...
research
∙
04/30/2021
Structuralist analysis for neural network system diagrams
This short paper examines diagrams describing neural network systems in ...
research
∙
04/12/2021
What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing
Mobility and transport, by their nature, involve crowds and require the ...
research
∙
04/12/2021
Does My Representation Capture X? Probe-Ably
Probing (or diagnostic classification) has become a popular strategy for...
research
∙
03/24/2021
Similarity-Based Equational Inference in Physics
Derivation in physics, in the form of derivation reconstruction of publi...
research
∙
11/20/2020
Cost-effective Variational Active Entity Resolution
Accurately identifying different representations of the same real-world ...
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
