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Found 5 papers, 0 papers with code
Distilling Event Sequence Knowledge From Large Language Models
In this work, we explore the use of Large Language Models (LLMs) to generate event sequences that can effectively be used for probabilistic event model construction.
Revisiting Relation Extraction in the era of Large Language Models
Relation extraction (RE) is the core NLP task of inferring semantic relationships between entities from text.
Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs
However, results from RCTs are presented in (often unstructured) natural language articles describing the design, execution, and outcomes of trials; clinicians must manually extract findings pertaining to interventions and outcomes of interest from such articles.
RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media
Using this corpus, we introduce the task of retrieving trustworthy evidence relevant to a given claim made on social media.
Semi-Automating Knowledge Base Construction for Cancer Genetics
We propose and evaluate several model variants, including a transformer-based joint entity and relation extraction model to extract <germline mutation, risk-estimate>} pairs.
