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ƒ In relevance feedback, the user marks a few , documents as relevant/nonrelevant ƒ The choices can be viewed as classes or categories ƒ For several documents, the user decides which of these two classes is correct Th IR t th th j d t t b ild ƒ The IR system then uses these judgments to build a better model of the information need ƒ So relevance feedback(More)
We introduce the idea of a sentiment summary, a single passage from a document that captures a key aspect of the au-thor's opinion about his or her subject. Using supervised data from the Rotten Tomatoes website, we examine features that appear to be helpful in locating a good summary sentence. These features are used to fit Naive Bayes and regularized(More)
We introduce the idea of a sentiment summary, a single passage from a document that captures an author's opinion about his or her subject. Using supervised data from the Rotten Tomatoes website, we examine features that appear to be helpful in locating a good summary sentence. These features are used to fit Naive Bayes and regularized logistic regression(More)
Dictionaries have long been seen as an essential contribution by linguists to work on endangered languages. We report on preliminary investigations of actual dictionary usage and usability by 76 speakers, semi-speakers and learners of Australian Aboriginal languages. The dictionaries include: electronic and printed bilingual Warlpiri-English dictionaries, a(More)
This paper discusses the year-long activity at NAS to implement a large, loose cluster of workstations from the existing Silicon Graphics, Inc. (SGI) pool of systems. Issues related to establishing a loosely coupled cluster of workstations are presented. Included are steps needed to resolve system management issues intended to provided reasonable cycle(More)
1 Theory We can transform the output of a linear regression to be suitable for probabilities by using a logit link function on the lhs as follows: logit p = log o = log p 1 − p = β 0 + β 1 x 1 + β 2 x 2 + · · · + β k x k (1) The odds can vary on a scale of (0, ∞), so the log odds can vary on the scale of (−∞, ∞) – precisely what we get from the rhs of the(More)
1 Introduction Current electronic dictionaries don't do much more than simple search of the information. While these systems may save the user the time turning pages, it looses the functionality of allowing users to flick through the other words of the language, or see the entries near by. Electronic Dictionaries open up many ways of accessing the(More)
• Information extraction (IE) systems • Find and understand limited relevant parts of texts • Gather information from many pieces of text • Produce a structured representation of relevant information: • Produce a structured representation of relevant information: • relations (in the database sense), a.k.a., • a knowledge base • Goals: 1. Organize(More)