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06/05/2023
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models
Medical progress notes play a crucial role in documenting a patient's ho...
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05/25/2023
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation
Argument summarisation is a promising but currently under-explored field...
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04/06/2023
Natural Language Robot Programming: NLP integrated with autonomous robotic grasping
In this paper, we present a grammar-based natural language framework for...
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11/10/2022
Towards Human-Centred Explainability Benchmarks For Text Classification
Progress on many Natural Language Processing (NLP) tasks, such as text c...
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05/05/2022
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour
Forced labour is the most common type of modern slavery, and it is incre...
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12/07/2020
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading
Advances in NLP have yielded impressive results for the task of machine ...
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05/29/2020
Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models
Recent years have seen a growing number of publications that analyse Nat...
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03/10/2020
A Framework for Evaluation of Machine Reading Comprehension Gold Standards
Machine Reading Comprehension (MRC) is the task of answering a question ...
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07/09/2019