Biomedical Information Retrieval
7 papers with code • 3 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Biomedical Information Retrieval
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BEIR
TripClick
NFCorpus
Most implemented papers
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
UKPLab/beir
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To address this, and to facilitate researchers to broadly evaluate the effectiveness of their models, we introduce Benchmarking-IR (BEIR), a robust and heterogeneous evaluation benchmark for information retrieval.
MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval
ncbi/medcpt
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In response, we introduce MedCPT, a first-of-its-kind Contrastively Pre-trained Transformer model for zero-shot semantic IR in biomedicine.
edge2vec: Representation learning using edge semantics for biomedical knowledge discovery
We propose this method for its added value relative to existing graph analytical methodology, and in the real world context of biomedical knowledge discovery applicability.
Resolving the Scope of Speculation and Negation using Transformer-Based Architectures
adityak6798/Transformers-For-Negation-and-Speculation
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Speculation is a naturally occurring phenomena in textual data, forming an integral component of many systems, especially in the biomedical information retrieval domain.
SGPT: GPT Sentence Embeddings for Semantic Search
muennighoff/sgpt
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To this end, we propose SGPT to use decoders for sentence embeddings and semantic search via prompting or fine-tuning.
No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval
This has made distilled and dense models, due to latency constraints, the go-to choice for deployment in real-world retrieval applications.
