activity
20182022
most citedMultitask Models for Supervised Protests Detection in Texts

1 citations · 2 across the 3 of their papers we have counts for

collaborators

8 papers

cs.CL2022

Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021 and 2022

Ali Hürriyetoğlu, Osman Mutlu, Fırat Duruşan +12

We report results of the CASE 2022 Shared Task 1 on Multilingual Protest Event Detection. This task is a continuation of CASE 2021 that consists of four subtasks that are i) docume…

cs.CL2021

Regressing Location on Text for Probabilistic Geocoding

Benjamin J. Radford

Text data are an important source of detailed information about social and political events. Automated systems parse large volumes of text data to infer or extract structured infor…

cs.CL2021

Few-Shot Upsampling for Protest Size Detection

Andrew Halterman, Benjamin J. Radford

We propose a new task and dataset for a common problem in social science research: "upsampling" coarse document labels to fine-grained labels or spans. We pose the problem in a que…

cs.CL20201 cited

Seeing the Forest and the Trees: Detection and Cross-Document Coreference Resolution of Militarized Interstate Disputes

Benjamin J. Radford

Previous efforts to automate the detection of social and political events in text have primarily focused on identifying events described within single sentences or documents. Withi…

cs.CL20201 cited

Multitask Models for Supervised Protests Detection in Texts

Benjamin J. Radford

The CLEF 2019 ProtestNews Lab tasks participants to identify text relating to political protests within larger corpora of news data. Three tasks include article classification, sen…

cs.CR2018

Anomaly Detection in Cyber Network Data Using a Cyber Language Approach

Bartley D. Richardson, Benjamin J. Radford, Shawn E. Davis +2

As the amount of cyber data continues to grow, cyber network defenders are faced with increasing amounts of data they must analyze to ensure the security of their networks. In addi…