286 citations · 534 across the 36 of their papers we have counts for
4 papers · 1 filter
Biomedical Hypothesis Explainability with Graph-Based Context Retrieval
Ilya Tyagin, Saeideh Valipour, Aliaksandra Sikirzhytskaya +2
We introduce an explainability method for biomedical hypothesis generation systems, built on top of the novel Hypothesis Generation Context Retriever framework. Our approach combin…
Proactive Query Expansion for Streaming Data Using External Source
Farah Alshanik, Amy Apon, Yuheng Du +2
Query expansion is the process of reformulating the original query by adding relevant words. Choosing which terms to add in order to improve the performance of the query expansion…
Accelerating COVID-19 research with graph mining and transformer-based learning
Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt +3
In 2020, the White House released the, "Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset," wherein artificial intelligence experts are asked to collect…
Accelerating Text Mining Using Domain-Specific Stop Word Lists
Farah Alshanik, Amy Apon, Alexander Herzog +2
Text preprocessing is an essential step in text mining. Removing words that can negatively impact the quality of prediction algorithms or are not informative enough is a crucial st…