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TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysis
April 16, 2024, 4:43 a.m. | Spandan Das, Vinay Samuel, Shahriar Noroozizadeh
cs.LG updates on arXiv.org arxiv.org
Abstract: This paper introduces novel methodologies for the Natural Language Inference for Clinical Trials (NLI4CT) task. We present TLDR (T5-generated clinical-Language summaries for DeBERTa Report Analysis) which incorporates T5-model generated premise summaries for improved entailment and contradiction analysis in clinical NLI tasks. This approach overcomes the challenges posed by small context windows and lengthy premises, leading to a substantial improvement in Macro F1 scores: a 0.184 increase over truncated premises. Our comprehensive experimental evaluation, including detailed …
abstract analysis arxiv clinical clinical trials cs.ai cs.cl cs.lg generated inference language natural natural language novel paper report tasks type
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