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Automatic Acquisition of Hyponyms from Large Text Corpora

TLDR
A set of lexico-syntactic patterns that are easily recognizable, that occur frequently and across text genre boundaries, and that indisputably indicate the lexical relation of interest are identified.
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Text Tiling: Segmenting Text into Multi-paragraph Subtopic Passages

TLDR
The algorithm is fully implemented and is shown to produce segmentation that corresponds well to human judgments of the subtopic boundaries of 12 texts, which should be useful for many text analysis tasks, including information retrieval and summarization.
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Why phishing works

TLDR
This paper provides the first empirical evidence about which malicious strategies are successful at deceiving general users by analyzing a large set of captured phishing attacks and developing a set of hypotheses about why these strategies might work.
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Trends & Controversies: Support Vector Machines

TLDR
This issue's collection of essays should help familiarize readers with this interesting new racehorse in the Machine Learning stable, and give a practical guide and a new technique for implementing the algorithm efficiently.
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Search User Interfaces

TLDR
This book summarizes developments of the state of the art of search interface design, both in academic research and in deployment in commercial systems, presenting the most broadly acceptable make their way into major web search engines.
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Multi-Paragraph Segmentation of Expository Text

TLDR
TextTiling, an algorithm for partitioning expository texts into coherent multi-paragraph discourse units which reflect the subtopic structure of the texts, is described and shown to produce segmentation that corresponds well to human judgments of the major subtopic boundaries of thirteen lengthy texts.
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Faceted metadata for image search and browsing

TLDR
An alternative based on enabling users to navigate along conceptual dimensions that describe the images is presented, which makes use of hierarchical faceted metadata and dynamically generated query previews.
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Reexamining the cluster hypothesis: scatter/gather on retrieval results

TLDR
This work systematically evaluates Scatter/Gather in this context and finds significant improvements over similarity search ranking alone and provides evidence validating the cluster hypothesis which states that relevant documents tend to be more similar to each other than to non-relevant documents.
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A Simple Algorithm for Identifying Abbreviation Definitions in Biomedical Text

TLDR
This paper shows that the problem of identifying abbreviations' definitions can be solved with a much simpler algorithm than that proposed by other research efforts, and achieves 96% precision and 82% recall on a standard test collection, which is at least as good as existing approaches.
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The state of the art in automating usability evaluation of user interfaces

TLDR
The survey analyzes existing techniques, identifies which aspects of usability evaluation automation are likely to be of use in future research, and suggests new ways to expand existing approaches to better support usability evaluation.
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