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Found 7 papers, 5 papers with code
Specification Overfitting in Artificial Intelligence
Machine learning (ML) and artificial intelligence (AI) approaches are often criticized for their inherent bias and for their lack of control, accountability, and transparency.
Functionality learning through specification instructions
A core aspect of our analysis is to measure the effect that including a set of specifications has on a held-out set of unseen, qualitatively different specifications.
Cross-functional Analysis of Generalisation in Behavioural Learning
In behavioural testing, system functionalities underrepresented in the standard evaluation setting (with a held-out test set) are validated through controlled input-output pairs.
Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection
Behavioural testing -- verifying system capabilities by validating human-designed input-output pairs -- is an alternative evaluation method of natural language processing systems proposed to address the shortcomings of the standard approach: computing metrics on held-out data.
Topic Modelling Brazilian Supreme Court Lawsuits
The data consist of a corpus of 45, 532 lawsuits manually annotated by the Court’s experts with theme labels, a multi-class and multi-label classification task.
VICTOR: a Dataset for Brazilian Legal Documents Classification
This paper describes VICTOR, a novel dataset built from Brazil{'}s Supreme Court digitalized legal documents, composed of more than 45 thousand appeals, which includes roughly 692 thousand documents{---}about 4. 6 million pages.
Ranked #1 on
Multi-Label Text Classification
on MVICTOR (theme)
Inferring the source of official texts: can SVM beat ULMFiT?
Official Gazettes are a rich source of relevant information to the public.
Ranked #1 on
Text Classification
on DODF Data
