Data science approaches to confronting the COVID-19 pandemic: a narrative review
During the COVID-19 pandemic, more than ever, data science has become a powerful
weapon in combating an infectious disease epidemic and arguably any future infectious …
weapon in combating an infectious disease epidemic and arguably any future infectious …
Harnessing the power of smart and connected health to tackle COVID-19: IoT, AI, robotics, and blockchain for a better world
As COVID-19 hounds the world, the common cause of finding a swift solution to manage the
pandemic has brought together researchers, institutions, governments, and society at large …
pandemic has brought together researchers, institutions, governments, and society at large …
COVID-fact: Fact extraction and verification of real-world claims on COVID-19 pandemic
We introduce a FEVER-like dataset COVID-Fact of $4,086 $ claims concerning the COVID-
19 pandemic. The dataset contains claims, evidence for the claims, and contradictory claims …
19 pandemic. The dataset contains claims, evidence for the claims, and contradictory claims …
[PDF][PDF] No parameter left behind: How distillation and model size affect zero-shot retrieval
Recent work has shown that small distilled language models are strong competitors to
models that are orders of magnitude larger and slower in a wide range of information …
models that are orders of magnitude larger and slower in a wide range of information …
In defense of cross-encoders for zero-shot retrieval
Bi-encoders and cross-encoders are widely used in many state-of-the-art retrieval pipelines.
In this work we study the generalization ability of these two types of architectures on a wide …
In this work we study the generalization ability of these two types of architectures on a wide …
Yes, bm25 is a strong baseline for legal case retrieval
arXiv:2105.05686v2 [cs.IR] 25 Oct 2021 Page 1 arXiv:2105.05686v2 [cs.IR] 25 Oct 2021 Yes,
BM25 is a Strong Baseline for Legal Case Retrieval Guilherme Moraes Rosa NeuralMind …
BM25 is a Strong Baseline for Legal Case Retrieval Guilherme Moraes Rosa NeuralMind …
Heterogeneous deep graph convolutional network with citation relational BERT for COVID-19 inline citation recommendation
The outbreak of COVID-19 brings almost the biggest explosions of scientific literature ever.
Facing such volume literature, it is hard for researches to find desired citation when carrying …
Facing such volume literature, it is hard for researches to find desired citation when carrying …
Simple yet effective neural ranking and reranking baselines for cross-lingual information retrieval
The advent of multilingual language models has generated a resurgence of interest in cross-
lingual information retrieval (CLIR), which is the task of searching documents in one …
lingual information retrieval (CLIR), which is the task of searching documents in one …
Billions of parameters are worth more than in-domain training data: A case study in the legal case entailment task
Recent work has shown that language models scaled to billions of parameters, such as GPT-
3, perform remarkably well in zero-shot and few-shot scenarios. In this work, we experiment …
3, perform remarkably well in zero-shot and few-shot scenarios. In this work, we experiment …
Neuralmind-unicamp at 2022 trec neuclir: Large boring rerankers for cross-lingual retrieval
This paper reports on a study of cross-lingual information retrieval (CLIR) using the mT5-
XXL reranker on the NeuCLIR track of TREC 2022. Perhaps the biggest contribution of this …
XXL reranker on the NeuCLIR track of TREC 2022. Perhaps the biggest contribution of this …