173 research outputs found
Performing Gender: Automatic Stylistic Analysis of Shakespeare's Characters
No full texthotasob @ iit.edu, argamon @ iit.edu koppel @ cs.biu.ac.il, iriszigdon @ walla.co
Tractability of Theory Patching
No full textIn this paper we consider the problem of theory patching, in which we are given a domain theory, some of whose components are indicated to be possibly flawed, and a set of labeled training examples for the domain concept. The theory patching problem is to revise only the indicated components of the theory, such that the resulting theory correctly classifies all the training examples. Theory patching is thus a type of theory revision in which revisions are made to individual components of the theory. Our concern in this paper is to determine for which classes of logical domain theories the theory patching problem is tractable. We consider both propositional and first-order domain theories, and show that the theory patching problem is equivalent to that of determining what information contained in a theory is stable regardless of what revisions might be performed to the theory. We show that determining stability is tractable if the input theory satisfies two conditions: that revisions to..
Committee-based sample selection for probabilistic classifiers
No full textIn many real-world learning tasks it is expensive to acquire a su cient number of labeled examples for training. This paper investigates methods for reducing annotation cost by sample selection. In this approach, during training the learning program examines many unlabeled examples and selects for labeling only those that are most informative at each stage. This avoids redundantly labeling examples that contribute little new information. Our work follows on previous research on Query By Committee, and extends the committee-based paradigm to the context of probabilistic classi cation. We describe a family of empirical methods for committee-based sample selection in probabilistic classi-cation models, which evaluate the informativeness of an example by measuring the degree of disagreement between several model variants. These variants (the committee) are drawn randomly from a probability distribution conditioned by the training set labeled so far. The method was applied to the real-world natural language processing task of stochastic part-of-speech tagging. We nd that all variants of the method achieve a signi cant reduction in annotation cost, although their computational e ciency di ers. In particular, the simplest variant,atwo member committee with no parameters to tune, gives excellent results. We also show that sample selection yields a signi cant reduction in the size of the model used by the tagger. 1
PAN11 Author Identification: Attribution
No full textWe provide you with a training corpus that comprises several different common attribution and verification scenarios. There are five training collections consisting of real-world texts (for authorship attribution), and three each with a single author (for authorship verification)
Subdivisions for Biblical Studies, Theology, and Ministry: Making Search Terms Do the Work
No full textNavigating the immense quantity of information available today is a daunting task for most people. As librarians well know, resources available freely from the Internet are easy to search and access, however, not all information needs are satisfied by a Google search.
This book focuses on subdivisions that are of explicit value for researchers and librarians in the areas of theology, biblical studies, and pastoral ministry from the perspective of someone studying for Christian ministry or actively involved in ministry.
About the Author: Leslie A Engelson
Leslie Engelson is currently assistant professor and Metadata Librarian at Murray State University in Murray, Kentucky. Prior to this position, she was the Technical Services Librarian at Northwest University in Kirkland, Washington, where she also served as library liaison to NU\u27s College of Ministry. Leslie is keenly interested in finding ways to help people access information, whether that\u27s through talking with faculty about open access, creating quality cataloging records, or encouraging the use of controlled vocabulary in information literacy instruction. Additionally, Leslie teaches a graduate course in organizing and managing library collections in the Library Media Program at MSU.
(Description from publisher)https://digitalcommons.murraystate.edu/libraries_book/1000/thumbnail.jp
The Abstract Robot Simulator Manual
No full textRobot Simulator Manual Version 1.0 Sean P. Engelson Niklas Bertani YALEU/DCS/TR-XXX October 1992 This work was partially supported by the Defense Advanced Research Projects Agency, contract number DAAA15-87-K-0001, administered by the Ballistic Research Laboratory. The first author is supported by a fellowship from the Fannie and John Hertz Foundation Ars Magna The Abstract Robot Simulator Manual Version 1.0 Sean P. Engelson Niklas Bertani 0 This work was partially supported by the Defense Advanced Research Projects Agency, contract number DAAA15-87-K-0001, administered by the Ballistic Research Laboratory. The first author is supported by a fellowship from the Fannie and John Hertz Foundation Abstract AI planning research has historically operated in formal abstractions of the real world. This approach was useful in discovering many fundamental issues underlying planning; also, problems in simple domains such as the blocks world can turn out to be surprisingly difficult. Late..
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