131 citations · 346 across the 10 of their papers we have counts for
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cs.CL2020★ 20 cited
GO FIGURE: A Meta Evaluation of Factuality in Summarization
Saadia Gabriel, Asli Celikyilmaz, Rahul Jha +2
While neural language models can generate text with remarkable fluency and coherence, controlling for factual correctness in generation remains an open research question. This majo…
cs.CL2020
Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization
Rahul Jha, Keping Bi, Yang Li +4
We describe Artemis (Annotation methodology for Rich, Tractable, Extractive, Multi-domain, Indicative Summarization), a novel hierarchical annotation process that produces indicati…
cs.CL2020★ 5 cited
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
Keping Bi, Rahul Jha, W. Bruce Croft +1
Redundancy-aware extractive summarization systems score the redundancy of the sentences to be included in a summary either jointly with their salience information or separately as…