150 citations · 178 across the 33 of their papers we have counts for
6 papers · 1 filter
Hierarchical Multi-Instance Multi-Label Learning for Detecting Propaganda Techniques
Anni Chen, Bhuwan Dhingra
Since the introduction of the SemEval 2020 Task 11 (Martino et al., 2020a), several approaches have been proposed in the literature for classifying propaganda based on the rhetoric…
Selectively Answering Ambiguous Questions
Jeremy R. Cole, Michael J. Q. Zhang, Daniel Gillick +3
Trustworthy language models should abstain from answering questions when they do not know the answer. However, the answer to a question can be unknown for a variety of reasons. Pri…
Salient Span Masking for Temporal Understanding
Jeremy R. Cole, Aditi Chaudhary, Bhuwan Dhingra +1
Salient Span Masking (SSM) has shown itself to be an effective strategy to improve closed-book question answering performance. SSM extends general masked language model pretraining…
Learning the Legibility of Visual Text Perturbations
Dev Seth, Rickard Stureborg, Danish Pruthi +1
Many adversarial attacks in NLP perturb inputs to produce visually similar strings ('ergo' 'rgo') which are legible to humans but degrade model performance. Althou…
DIFFQG: Generating Questions to Summarize Factual Changes
Jeremy R. Cole, Palak Jain, Julian Martin Eisenschlos +3
Identifying the difference between two versions of the same article is useful to update knowledge bases and to understand how articles evolve. Paired texts occur naturally in diver…
Interface Design for Crowdsourcing Hierarchical Multi-Label Text Annotations
Rickard Stureborg, Bhuwan Dhingra, Jun Yang
Human data labeling is an important and expensive task at the heart of supervised learning systems. Hierarchies help humans understand and organize concepts. We ask whether and how…