Artificial intelligence publications
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Toward a Theory of Qualitative Reasoning about Plans
We define a qualitative framework for reasoning about plan structure, defining a set of plan relations that characterize key interactions among plan components and a calculus for reasoning qualitatively about…
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Computational Prediction of Human Metabolic Pathways from the Complete Human Genome
We present a computational pathway analysis of the human genome that assigns enzymes encoded therein to predicted metabolic pathways.
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MetaCyc: a multiorganism database of metabolic pathways and enzymes
In the past 2 years the data content and the Pathway Tools software used to query, visualize and edit MetaCyc have been expanded significantly. These enhancements are described in this…
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Toward full automation of lexicon construction
We describe a technique of this nature called information theoretic co clustering and give results of a series of experiments built around it that demonstrate the main ingredients of lexical…
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Prioritizing Planning Decisions in Real-World Plan Authoring
This paper describes two methods for automatically prioritizing planning decisions. Both approaches have been implemented in PASSAT, a plan-authoring system in which users construct and modify plans interactively using a…
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Toward Unsupervised Whole-Corpus Tagging
We present a system for unsupervised tagging of words into classes produced by a distributional clustering technique called co-clustering.
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Towards a Quantitative Platform Independent Analysis of Knowledge Systems
The Halo Pilot collaboratively developed a taxonomy of failures with the goal of creating a common framework of metrics against which we could measure inter- and intra- system failure characteristics…
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An Evidence Ontology for use in Pathway/Genome Databases
This paper presents an ontology for encoding the type of support and the degree of support for DB assertions, and for encoding the literature source in which that support is…
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A Bayesian method for identifying missing enzymes in predicted metabolic pathway databases
We have developed a method that efficiently combines homology and pathway-based evidence to identify candidates for filling pathway holes in Pathway/Genome databases.
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A Multimodal Learning Interface for Sketch, Speak and Point Creation of a Schedule Chart
We present a video demonstration of an agent-based test bed application for ongoing research into multi-user, multimodal, computer-assisted meetings.
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Trained Named Entity Recognition Using Distributional Clusters
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recognition.
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Using Functional and Organizational Information to Improve Genome-Wide Computational Prediction of Transcription Units on Pathway/Genome Databases
We implemented a TU predictor that uses only intergenic distance and functional classification of genes to predict TU boundaries, and applied it to EcoCyc, our PGDB of Escherichia coli.