Tom M. Mitchell

Learning to Ask for Conversational Machine Learning

2019

Shashank Srivastava, Igor Labutov, Tom Mitchell. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.

Interactive Task and Concept Learning from Natural Language Instructions and GUI Demonstrations

2019 · arXiv (Cornell University)

Natural language programming is a promising approach to enable end users to instruct new tasks for intelligent agents. However, our formative study found that end users would often use unclear, ambiguous or vague concepts when …

Leveraging Knowledge Bases in LSTMs for Improving Machine Reading

2017

This paper focuses on how to take advantage of external knowledge bases (KBs) to improve recurrent neural networks for machine reading. Traditional methods that exploit knowledge from KBs encode knowledge as discrete indicator features. Not …

Competence-based Curriculum Learning for Neural Machine Translation

2019

Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabas Poczos, Tom Mitchell. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short …

Joint Extraction of Events and Entities within a Document Context

2016

Events and entities are closely related; entities are often actors or participants in events and events without entities are uncommon. The interpretation of events and entities is highly contextually dependent. Existing work in information extraction …