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Found 6 papers, 3 papers with code
Frugal neural reranking: evaluation on the Covid-19 literature
The Covid-19 pandemic urged the scientific community to join efforts at an unprecedented scale, leading to faster than ever dissemination of data and results, which in turn motivated more research works.
Prediction of 30-day hospital readmission with clinical notes and EHR information
Nowadays, it is possible to collect both structured (electronic health records - EHR) and unstructured information (clinical notes) about a patient hospital event, all potentially containing relevant information for a predictive model.
Productive Crop Field Detection: A New Dataset and Deep Learning Benchmark Results
In precision agriculture, detecting productive crop fields is an essential practice that allows the farmer to evaluate operating performance separately and compare different seed varieties, pesticides, and fertilizers.
Chemical identification and indexing in PubMed full-text articles using deep learning and heuristics
We propose a three-stage pipeline that individually performs chemical mention detection, entity normalization and indexing.
Ranked #1 on
Chemical Indexing
on BC7 NLM-Chem
Chemical detection and indexing in PubMed full text articles using deep learning and rule-based methods
Identifying chemicals in biomedical scientific literature is a crucial task for drug development research.
Ranked #2 on
Chemical Indexing
on BC7 NLM-Chem
Benchmarking a transformer-FREE model for ad-hoc retrieval
Transformer-based {``}behemoths{''} have grown in popularity, as well as structurally, shattering multiple NLP benchmarks along the way.
