Sean MacAvaney

SLEDGE: A Simple Yet Effective Baseline for Coronavirus Scientific Knowledge Search

2020 · arXiv (Cornell University)

With worldwide concerns surrounding the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), there is a rapidly growing body of literature on the virus. Clinicians, researchers, and policy-makers need a way to effectively search these articles. …

Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review

2021 · arXiv (Cornell University)

Technology-assisted review (TAR) refers to iterative active learning workflows for document review in high recall retrieval (HRR) tasks. TAR research and most commercial TAR software have applied linear models such as logistic regression to lexical …

One-Shot Labeling for Automatic Relevance Estimation

2023

Dealing with unjudged documents ("holes") in relevance assessments is a perennial problem when evaluating search systems with offline experiments. Holes can reduce the apparent effectiveness of retrieval systems during evaluation and introduce biases in models …

Exploiting Positional Bias for Query-Agnostic Generative Content in Search

2024 · arXiv (Cornell University)

In recent years, neural ranking models (NRMs) have been shown to substantially outperform their lexical counterparts in text retrieval. In traditional search pipelines, a combination of features leads to well-defined behaviour. However, as neural approaches …

CEDR

2019

Although considerable attention has been given to neural ranking architectures recently, far less attention has been paid to the term representations that are used as input to these models. In this work, we investigate how …