activity
20182022
most citedPolicy Compliance Detection via Expression Tree Inference

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL20221 cited

Policy Compliance Detection via Expression Tree Inference

Neema Kotonya, Andreas Vlachos, Majid Yazdani +2

Policy Compliance Detection (PCD) is a task we encounter when reasoning over texts, e.g. legal frameworks. Previous work to address PCD relies heavily on modeling the task as a spe…

cs.CL2021

Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification

Neema Kotonya, Thomas Spooner, Daniele Magazzeni +1

This paper presents an end-to-end system for fact extraction and verification using textual and tabular evidence, the performance of which we demonstrate on the FEVEROUS dataset. W…

cs.CL2020

Explainable Automated Fact-Checking: A Survey

Neema Kotonya, Francesca Toni

A number of exciting advances have been made in automated fact-checking thanks to increasingly larger datasets and more powerful systems, leading to improvements in the complexity…

cs.CL2020

Explainable Automated Fact-Checking for Public Health Claims

Neema Kotonya, Francesca Toni

Fact-checking is the task of verifying the veracity of claims by assessing their assertions against credible evidence. The vast majority of fact-checking studies focus exclusively…

cs.CY2018

Of Wines and Reviews: Measuring and Modeling the Vivino Wine Social Network

Neema Kotonya, Paolo De Cristofaro, Emiliano De Cristofaro

This paper presents an analysis of social experiences around wine consumption through the lens of Vivino, a social network for wine enthusiasts with over 26 million users worldwide…