Papers by Dimitrina Zlatkova

3 papers
Fact-Checking Meets Fauxtography: Verifying Claims About Images (D19-1)

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Challenge: Recent explosion of false claims in social media has led to manual fact-checking initiatives . however, existing methods are inadequate to deal with the growing number of false content claims.
Approach: They propose to model claims about images using a new dataset to examine the relationship between the image and the claim.
Outcome: The proposed method improves on the baseline and will enable future research on fact-checking claims about images.
EXAMS: A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering (2020.emnlp-main)

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Challenge: EXAMS is a benchmark dataset for cross-lingual and multilingual question answering for high school examinations.
Approach: They propose to use EXAMS to evaluate cross-lingual and multilingual question answering for high school examinations.
Outcome: The proposed model can be used to explore multilingual reasoning and knowledge transfer methods and pre-trained models in schools in different languages, which was not possible by now.
A Neighborhood Framework for Resource-Lean Content Flagging (2022.tacl-1)

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Challenge: Existing approaches to cross-lingual content flagging with limited target language data are lacking in many languages.
Approach: They propose a framework for cross-lingual content flagging with limited target- language data based on a nearest-neighbor architecture and a transformer representation in all its components.
Outcome: The proposed framework outperforms previous work in terms of predictive performance on eight languages from two different datasets.

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