Papers by Saya Kanno
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge (2022.findings-emnlp)
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| Challenge: | Existing methods to retrieve facts from commonsense knowledge graphs are imprecise, requiring heuristics that ignore contexts and ambiguity . a novel benchmark, ComFact, contains 293k in-context relevance annotations for commonsensense triplets . |
| Approach: | They propose a task of commonsense fact linking where models are given contexts and trained to identify situationally-relevant commonsensical knowledge from KGs. |
| Outcome: | The proposed benchmark shows that heuristic fact linking approaches are imprecise . however, the models still significantly underperform humans in the commonsense augmentation task . |
PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives (2023.acl-long)
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Silin Gao, Beatriz Borges, Soyoung Oh, Deniz Bayazit, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut
| Challenge: | a new knowledge graph for personas based on human-validated persona facts is constructed to model diverse persona attributes . a variety of persona characteristics are required to sustain coherent narratives . |
| Approach: | They construct a large-scale persona commonsense knowledge graph with 100K human-validated persona facts. |
| Outcome: | The proposed graph contains rich and precise world persona inferences that help systems generate more consistent and engaging narratives. |