Michael Witbrock

Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks

2018 · arXiv (Cornell University)

The celebrated Sequence to Sequence learning (Seq2Seq) technique and its numerous variants achieve excellent performance on many tasks. However, many machine learning tasks have inputs naturally represented as graphs; existing Seq2Seq models face a significant …

Improving Natural Language Inference Using External Knowledge in the Science Questions Domain

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

Natural Language Inference (NLI) is fundamental to many Natural Language Processing (NLP) applications including semantic search and question answering. The NLI problem has gained significant attention due to the release of large scale, challenging datasets. …