1 citations · 1 across the 2 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2019★ 1 cited
Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization
Berk Ekmekci, Eleanor Hagerman, Blake Howald
Risk mining technologies seek to find relevant textual extractions that capture entity-risk relationships. However, when high volume data sets are processed, a multitude of relevan…
cs.CL2019
A Consolidated System for Robust Multi-Document Entity Risk Extraction and Taxonomy Augmentation
Berk Ekmekci, Eleanor Hagerman, Blake Howald
We introduce a hybrid human-automated system that provides scalable entity-risk relation extractions across large data sets. Given an expert-defined keyword taxonomy, entities, and…