12 citations · 23 across the 9 of their papers we have counts for
4 papers · 1 filter
Adversarial Transformer Language Models for Contextual Commonsense Inference
Pedro Colon-Hernandez, Henry Lieberman, Yida Xin +3
Contextualized or discourse aware commonsense inference is the task of generating coherent commonsense assertions (i.e., facts) from a given story, and a particular sentence from t…
Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture
Kate Pearce, Sharifa Alghowinem, Cynthia Breazeal
As artificial intelligence (AI) becomes a prominent part of modern life, AI literacy is becoming important for all citizens, not just those in technology careers. Previous research…
RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations
Pedro Colon-Hernandez, Yida Xin, Henry Lieberman +3
Retrofitting is a technique used to move word vectors closer together or further apart in their space to reflect their relationships in a Knowledge Base (KB). However, retrofitting…
Combining pre-trained language models and structured knowledge
Pedro Colon-Hernandez, Catherine Havasi, Jason Alonso +2
In recent years, transformer-based language models have achieved state of the art performance in various NLP benchmarks. These models are able to extract mostly distributional info…