Julian Michael

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

2018 · arXiv (Cornell University)

For natural language understanding (NLU) technology to be maximally useful, both practically and as a scientific object of study, it must be general: it must be able to process language in a way that is …

Supervised Open Information Extraction

2018

Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, Ido Dagan. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018.

SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

2019 · arXiv (Cornell University)

In the last year, new models and methods for pretraining and transfer learning have driven striking performance improvements across a range of language understanding tasks. The GLUE benchmark, introduced a little over one year ago, …

AmbigQA: Answering Ambiguous Open-domain Questions

2020

Ambiguity is inherent to open-domain question answering; especially when exploring new topics, it can be difficult to ask questions that have a single, unambiguous answer. In this paper, we introduce AMBIGQA, a new open-domain question …