English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Automated event extraction in social science applications often requirescorpus-level evaluations: for example, aggregating text predictions acrossmetadata and unbiased estimates of recall. We combine corpus-level evaluationrequirements with a real-world, social science setting and introduce theIndiaPoliceEvents corpus--all 21,391 sentences from 1,257 English-languageTimes of India articles about events in the state of Gujarat during March 2002.Our trained annotators read and label every document for mentions of policeactivity events, allowing for unbiased recall evaluations. In contrast to otherdatasets with structured event representations, we gather annotations by posingnatural questions, and evaluate off-the-shelf models for three different tasks:sentence classification, document ranking, and temporal aggregation of targetevents. We present baseline results from zero-shot BERT-based models fine-tunedon natural language inference and passage retrieval tasks. Our novelcorpus-level evaluations and annotation approach can guide creation of similarsocial-science-oriented resources in the future.

Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence