14 citations · 31 across the 10 of their papers we have counts for
4 papers · 1 filter
Understanding Substructures in Commonsense Relations in ConceptNet
Ke Shen, Mayank Kejriwal
Acquiring commonsense knowledge and reasoning is an important goal in modern NLP research. Despite much progress, there is still a lack of understanding (especially at scale) of th…
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes
Ke Shen, Mayank Kejriwal
Recent work on transformer-based neural networks has led to impressive advances on multiple-choice natural language understanding (NLU) problems, such as Question Answering (QA) an…
Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks?
Mayank Kejriwal, Ke Shen
In recent years, there has been a growing recognition that higher-order structures are important features in real-world networks. A particular class of structures that has gained p…
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense
Henrique Santos, Ke Shen, Alice M. Mulvehill +3
Programming machines with commonsense reasoning (CSR) abilities is a longstanding challenge in the Artificial Intelligence community. Current CSR benchmarks use multiple-choice (an…