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Found 5 papers, 2 papers with code
Handling Variance of Pretrained Language Models in Grading Evidence in the Medical Literature
In this paper, we investigate the utility of modern pretrained language models for the evidence grading system in the medical literature based on the ALTA 2021 shared task.
What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text
Procedural text contains rich anaphoric phenomena, yet has not received much attention in NLP.
A Critical Look at Meta-evaluating Summarisation Evaluation Metrics
Effective summarisation evaluation metrics enable researchers and practitioners to compare different summarisation systems efficiently.
ChEMU-Ref: A Corpus for Modeling Anaphora Resolution in the Chemical Domain
Chemical patents contain rich coreference and bridging links, which are the target of this research.
COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research
We present COVID-SEE, a system for medical literature discovery based on the concept of information exploration, which builds on several distinct text analysis and natural language processing methods to structure and organise information in publications, and augments search by providing a visual overview supporting exploration of a collection to identify key articles of interest.
