Papers by Christina Funk
Recognizing Multimodal Entailment (2021.acl-tutorials)
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Cesar Ilharco, Afsaneh Shirazi, Arjun Gopalan, Arsha Nagrani, Blaz Bratanic, Chris Bregler, Christina Funk, Felipe Ferreira, Gabriel Barcik, Gabriel Ilharco, Georg Osang, Jannis Bulian, Jared Frank, Lucas Smaira, Qin Cao, Ricardo Marino, Roma Patel, Thomas Leung, Vaiva Imbrasaite
| Challenge: | This tutorial introduces the multimodal entailment task for detecting semantic alignments . the task requires fine-grained understanding of visual and linguistic semantics questions . |
| Approach: | This tutorial introduces the multimodal entailment task to machine learning . it introduces a dataset for recognizing multimodal alignments . |
| Outcome: | This tutorial introduces the multimodal entailment task . it can be useful for detecting semantic alignments when a single modality alone is not enough . |
Community-Driven Crowdsourcing: Data Collection with Local Developers (L18-1)
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| Challenge: | a community-driven approach to annotation applications and crowdsourcing programs is feasible, says a new study. |
| Approach: | They propose to partner with local developers to create custom annotation applications . they recruit and motivate crowd contributors from their communities to perform an annotation task . |
| Outcome: | The proposed approach combines local developers' knowledge of their social networks to collect labeled data. |