Biomedical Information Retrieval

7 papers with code • 3 benchmarks • 4 datasets

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Most implemented papers

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

UKPLab/beir 17 Apr 2021

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 2 Jul 2023

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

RoyZhengGao/edge2vec 7 Sep 2018

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 9 Jan 2020

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 17 Feb 2022

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

guilhermemr04/scaling-zero-shot-retrieval 6 Jun 2022

This has made distilled and dense models, due to latency constraints, the go-to choice for deployment in real-world retrieval applications.