Search Results for author: Md Atabuzzaman

Found 2 papers, 0 papers with code

What Matters in Explanations: Towards Explainable Fake Review Detection Focusing on Transformers

no code implementations24 Jul 2024 Md Shajalal, Md Atabuzzaman, Alexander Boden, Gunnar Stevens, Delong Du

Furthermore, the empirical user evaluation of the generated explanations concludes which important information needs to be considered in generating explanations in the context of fake review identification.

Textual Entailment Recognition with Semantic Features from Empirical Text Representation

no code implementations18 Oct 2022 Md Shajalal, Md Atabuzzaman, Maksuda Bilkis Baby, Md Rezaul Karim, Alexander Boden

In this paper, we propose a novel approach to identifying the textual entailment relationship between text and hypothesis, thereby introducing a new semantic feature focusing on empirical threshold-based semantic text representation.

Natural Language Inference Natural Language Understanding +2

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