activity
20152023
most citedActionable Recourse in Linear Classification

475 citations · 512 across the 14 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.CL2021

Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals

Te-Lin Wu, Alex Spangher, Pegah Alipoormolabashi +3

The ability to sequence unordered events is an essential skill to comprehend and reason about real world task procedures, which often requires thorough understanding of temporal co…

cs.CL2021★ 8 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.CL2021★ 1 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.CL2021★ 1 cited

StateCensusLaws.org: A Web Application for Consuming and Annotating Legal Discourse Learning

Alexander Spangher, Jonathan May

In this work, we create a web application to highlight the output of NLP models trained to parse and label discourse segments in law text. Our system is built primarily with journa…

cs.CL2021★ 1 cited

NewsEdits: A Dataset of Revision Histories for News Articles (Technical Report: Data Processing)

Alexander Spangher, Jonathan May

News article revision histories have the potential to give us novel insights across varied fields of linguistics and social sciences. In this work, we present, to our knowledge, th…

cs.CL2021★ 4 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…