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Found 12 papers, 3 papers with code
A Simple yet Effective Method for Sentence Ordering
Sentence ordering is the task of arranging a given bag of sentences so as to maximise the coherence of the overall text.
Evaluating Hierarchical Document Categorisation
Hierarchical document categorisation is a special case of multi-label document categorisation, where there is a taxonomic hierarchy among the labels.
Systematic Evaluation of Predictive Fairness
Mitigating bias in training on biased datasets is an important open problem.
Optimising Equal Opportunity Fairness in Model Training
Real-world datasets often encode stereotypes and societal biases.
fairlib: A Unified Framework for Assessing and Improving Classification Fairness
This paper presents fairlib, an open-source framework for assessing and improving classification fairness.
Contrastive Learning for Fair Representations
Trained classification models can unintentionally lead to biased representations and predictions, which can reinforce societal preconceptions and stereotypes.
On the (In)Effectiveness of Images for Text Classification
Images are core components of multi-modal learning in natural language processing (NLP), and results have varied substantially as to whether images improve NLP tasks or not.
Evaluating Document Coherence Modelling
While pretrained language models ("LM") have driven impressive gains over morpho-syntactic and semantic tasks, their ability to model discourse and pragmatic phenomena is less clear.
Modelling Uncertainty in Collaborative Document Quality Assessment
In the context of document quality assessment, previous work has mainly focused on predicting the quality of a document relative to a putative gold standard, without paying attention to the subjectivity of this task.
A Joint Model for Multimodal Document Quality Assessment
The quality of a document is affected by various factors, including grammaticality, readability, stylistics, and expertise depth, making the task of document quality assessment a complex one.
