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Linguistic Blind Spots in Clinical Decision Extraction
Mohamed Elgaar, Hadi Amiri
Extracting medical decisions from clinical notes is a key step for clinical decision support and patient-facing care summaries. We study how the linguistic characteristics of clini…
LingGen: Scalable Multi-Attribute Linguistic Control via Power-Law Masking
Mohamed Elgaar, Hadi Amiri
We present LingGen, a controlled text generation model that allows fine-grained control over a large number of real-valued linguistic attributes. It encodes target attribute values…
Linguistically-Controlled Paraphrase Generation
Mohamed Elgaar, Hadi Amiri
Controlled paraphrase generation produces paraphrases that preserve meaning while allowing precise control over linguistic attributes of the output. We introduce LingConv, an encod…
MedDec: A Dataset for Extracting Medical Decisions from Discharge Summaries
Mohamed Elgaar, Jiali Cheng, Nidhi Vakil +2
Medical decisions directly impact individuals' health and well-being. Extracting decision spans from clinical notes plays a crucial role in understanding medical decision-making pr…
Ling-CL: Understanding NLP Models through Linguistic Curricula
Mohamed Elgaar, Hadi Amiri
We employ a characterization of linguistic complexity from psycholinguistic and language acquisition research to develop data-driven curricula to understand the underlying linguist…