1 citations · 1 across the 6 of their papers we have counts for
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NLP for Social Good: A Survey and Outlook of Challenges, Opportunities, and Responsible Deployment
Antonia Karamolegkou, Angana Borah, Eunjung Cho +30
Natural language processing (NLP) now shapes many aspects of our world, yet its potential for positive social impact is underexplored. This paper surveys work in ``NLP for Social G…
Uchaguzi-2022: A Dataset of Citizen Reports on the 2022 Kenyan Election
Roberto Mondini, Neema Kotonya, Robert L. Logan +8
Online reporting platforms have enabled citizens around the world to collectively share their opinions and report in real time on events impacting their local communities. Systemat…
Towards a Framework for Evaluating Explanations in Automated Fact Verification
Neema Kotonya, Francesca Toni
As deep neural models in NLP become more complex, and as a consequence opaque, the necessity to interpret them becomes greater. A burgeoning interest has emerged in rationalizing e…
Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task
Neema Kotonya, Saran Krishnasamy, Joel Tetreault +1
This paper describes and analyzes our participation in the 2023 Eval4NLP shared task, which focuses on assessing the effectiveness of prompt-based techniques to empower Large Langu…
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…
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…
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…
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…