Papers by Ameer Saadat-Yazdi
Uncovering Implicit Inferences for Improved Relational Argument Mining (2023.eacl-main)
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| Challenge: | Argument mining attempts to extract arguments and their structure from unstructured texts. |
| Approach: | They propose a generative neuro-symbolic approach to finding inference chains that connect argument pairs by using the Commonsense Transformer. |
| Outcome: | The proposed approach outperforms the state-of-the-art by 2-5% in F1 score on three datasets. |
Beyond Recognising Entailment: Formalising Natural Language Inference from an Argumentative Perspective (2024.acl-long)
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| Challenge: | Existing methods for recognizing textual entailment lack a standardized definition of inference, making it difficult to compare methods trained on different datasets. |
| Approach: | They propose a rigorous approach to align entailment recognition with argumentation theory by using a tool to assist humans in annotating arguments according to the PTA. |
| Outcome: | The proposed model is based on a human-trained dataset and provides insights into non-expert annotator training. |