5 citations · 9 across the 3 of their papers we have counts for
5 papers
Language Models of Code are Few-Shot Commonsense Learners
Aman Madaan, Shuyan Zhou, Uri Alon +2
We address the general task of structured commonsense reasoning: given a natural language input, the goal is to generate a graph such as an event -- or a reasoning-graph. To employ…
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data
Shuyan Zhou, Li Zhang, Yue Yang +4
Procedures are inherently hierarchical. To "make videos", one may need to "purchase a camera", which in turn may require one to "set a budget". While such hierarchical knowledge is…
Soft Gazetteers for Low-Resource Named Entity Recognition
Shruti Rijhwani, Shuyan Zhou, Graham Neubig +1
Traditional named entity recognition models use gazetteers (lists of entities) as features to improve performance. Although modern neural network models do not require such hand-cr…
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking
Shuyan Zhou, Shruti Rijhwani, John Wieting +2
Cross-lingual entity linking (XEL) is the task of finding referents in a target-language knowledge base (KB) for mentions extracted from source-language texts. The first step of (X…
Towards Zero-resource Cross-lingual Entity Linking
Shuyan Zhou, Shruti Rijhwani, Graham Neubig
Cross-lingual entity linking (XEL) grounds named entities in a source language to an English Knowledge Base (KB), such as Wikipedia. XEL is challenging for most languages because o…