Papers by Stamos Katsigiannis

2 papers
SOS: Systematic Offensive Stereotyping Bias in Word Embeddings (2022.coling-1)

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Challenge: Systematic Offensive Stereotyping (SOS) in word embeddings could lead to associating marginalised groups with hate speech and profanity.
Approach: They propose a quantitative measure of the systematic offensive stereotyping (SOS) in word embeddings and validate it in most commonly used word embeds.
Outcome: The proposed measure correlates with published statistics on online extremism, but does not explain hate speech detection models.
Evidence Retrieval for Fact Verification using Multi-stage Reranking (2024.findings-emnlp)

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Challenge: Existing evidence retrieval methods are limited by single-stage evidence extraction.
Approach: They propose to use a multi-stage reranking paradigm to enhance the fact verification process by increasing the recall of sentences by 7.85%, tables by 8.29% and cells by 3% compared to the current state-of-the-art.
Outcome: The proposed system outperforms state-of-the-art models and achieves a 93.63% recall rate for Wikipedia pages.

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