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20182023
most cited"Don't quote me on that": Finding Mixtures of Sources in News Articles

8 citations · 13 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CL2023

Stay on topic with Classifier-Free Guidance

Guillaume Sanchez, Honglu Fan, Alexander Spangher +3

Classifier-Free Guidance (CFG) has recently emerged in text-to-image generation as a lightweight technique to encourage prompt-adherence in generations. In this work, we demonstrat…

cs.CL2023

Identifying Informational Sources in News Articles

Alexander Spangher, Nanyun Peng, Jonathan May +1

News articles are driven by the informational sources journalists use in reporting. Modeling when, how and why sources get used together in stories can help us better understand th…

cs.CL20218 cited

"Don't quote me on that": Finding Mixtures of Sources in News Articles

Alexander Spangher, Nanyun Peng, Jonathan May +1

Journalists publish statements provided by people, or \textit{sources} to contextualize current events, help voters make informed decisions, and hold powerful individuals accountab…

cs.CL20211 cited

Modeling "Newsworthiness" for Lead-Generation Across Corpora

Alexander Spangher, Nanyun Peng, Jonathan May +1

Journalists obtain "leads", or story ideas, by reading large corpora of government records: court cases, proposed bills, etc. However, only a small percentage of such records are i…

cs.CL20214 cited

Multitask Learning for Class-Imbalanced Discourse Classification

Alexander Spangher, Jonathan May, Sz-rung Shiang +1

Small class-imbalanced datasets, common in many high-level semantic tasks like discourse analysis, present a particular challenge to current deep-learning architectures. In this wo…