584 citations · 1.1k across the 51 of their papers we have counts for
8 papers · 1 filter
MultiVerS: Improving scientific claim verification with weak supervision and full-document context
David Wadden, Kyle Lo, Lucy Lu Wang +3
The scientific claim verification task requires an NLP system to label scientific documents which Support or Refute an input claim, and to select evidentiary sentences (or rational…
Exploring The Role of Local and Global Explanations in Recommender Systems
Marissa Radensky, Doug Downey, Kyle Lo +2
Explanations are well-known to improve recommender systems' transparency. These explanations may be local, explaining an individual recommendation, or global, explaining the recomm…
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting
Anne Lauscher, Brandon Ko, Bailey Kuehl +4
Citation context analysis (CCA) is an important task in natural language processing that studies how and why scholars discuss each others' work. Despite decades of study, tradition…
Overview and Insights from the SciVer Shared Task on Scientific Claim Verification
David Wadden, Kyle Lo
We present an overview of the SciVer shared task, presented at the 2nd Scholarly Document Processing (SDP) workshop at NAACL 2021. In this shared task, systems were provided a scie…
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg, Arman Cohan, Kyle Lo +1
Few-shot NLP research is highly active, yet conducted in disjoint research threads with evaluation suites that lack challenging-yet-realistic testing setups and fail to employ care…
VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups
Zejiang Shen, Kyle Lo, Lucy Lu Wang +3
Accurately extracting structured content from PDFs is a critical first step for NLP over scientific papers. Recent work has improved extraction accuracy by incorporating elementary…