Keith Hall

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3ranked-venue papers

0as first author

0since 2021 · last 2019

—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence 2 papers		Information extraction and text analysis · 66% Language models and text generation · 20% Reinforcement learning · 14%
Theoretical computer science 1 paper		Algorithmic game theory and mechanism design · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Natural language and speech › Information extraction and text analysis syntactic parsing	0.4	1	2019	Text Genre and Training Data Size in Human-like Parsing · EMNLP/IJCNLP (1) 2019
Machine learning › Reinforcement learning › multi-agent reinforcement learning › equilibrium learning correlated equilibrium	0.0	1	2003	Correlated Q-Learning · ICML 2003
Machine learning › Reinforcement learning multi-agent reinforcement learning	0.0	1	2003	Correlated Q-Learning · ICML 2003
Algorithmic game theory and mechanism design › equilibrium computation correlated equilibrium	0.0	1	2003	Correlated Q-Learning · ICML 2003
Electronic design automation design management	0.0	1	1989	Use of Change Coordination in an Information-rich Design Environment · DAC 1989

Methods — techniques the papers use, named apart from their topics

human-like parsing · 0.4q-learning · 0.1knowledge representation · 0.0

Year	Publication	Venue	Position
2019	Text Genre and Training Data Size in Human-like Parsing abstract John Hale, Adhiguna Kuncoro, Keith Hall, Chris Dyer, Jonathan Brennan. 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. John T. Hale, Adhiguna Kuncoro, Keith Hall, Chris Dyer, Jonathan Brennan	EMNLP/IJCNLP (1)	3
2003	Correlated Q-Learning Amy Greenwald, Keith Hall	ICML	2
1989	Use of Change Coordination in an Information-rich Design Environment abstract The growing complexity of VLSI designs has led to a partitioning of design responsibilities among different engineers, with the result that engineers work in parallel on different aspects of the design. With this division of responsibilities comes the need for automatic means of coordinating changes made by different engineers, and automatic means of administrating design policies laid down by management. In this paper we show how an information-rich design environment, incorporating (1) detailed knowledge of the design, (2) explicit representation of management's policies, and (3) special software units called change coordinators, can be used to automate the functions of change coordination and policy administration. Marianne Winslett, David W. Knapp, Keith Hall, Gio Wiederhold	DAC	3