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Database resources of the National Center for Biotechnology Information
TLDR
The Entrez system provides search and retrieval operations for most of these data from 39 distinct databases. Expand
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NCBI BLAST: a better web interface
TLDR
We redesign the BLAST web interface to improve usability and performance. Expand
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The Metaphorical Structure of the Human Conceptual System
TLDR
We have found that the human conceptual system is fundamentally metaphorical in character. Expand
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Parsing the Wall Street Journal using a Lexical-Functional Grammar and Discriminative Estimation Techniques
TLDR
We present a stochastic parsing system consisting of a Lexical-Functional Grammar (LFG), a constraint-based parser and a stoanchastic disambiguation model. Expand
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Using Universal Linguistic Knowledge to Guide Grammar Induction
TLDR
We present an approach to grammar induction that utilizes syntactic universals to improve dependency parsing across a range of languages compared to state-of-the-art unsupervised methods. Expand
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Estimators for Stochastic "Unification-Based" Grammars
TLDR
Log-linear models provide a statistically sound framework for Stochastic "Unification-Based" Grammars (SUBGs) and stochastic versions of other kinds of grammars. Expand
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On compressing encrypted data
TLDR
In this paper, we investigate the novelty of reversing the order of these steps, i.e., first encrypting and then compressing, without compromising either the compression efficiency or the information-theoretic security. Expand
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An Improved Non-monotonic Transition System for Dependency Parsing
TLDR
We introduce a new set of non-monotonic transitions that permits a partial parse state to derive a larger set of completed parse trees than previous work, which allows our parser to escape the “garden paths” that can trap monotonic greedy transition-based dependency parsers. Expand
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A Simple Pattern-matching Algorithm for Recovering Empty Nodes and their Antecedents
TLDR
This paper describes a simple pattern-matching algorithm for recovering empty nodes and identifying their co-indexed antecedents in phrase structure trees that do not contain this information. Expand
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A comparison of Bayesian estimators for unsupervised Hidden Markov Model POS taggers
TLDR
This paper compares a variety of different Bayesian estimators for Hidden Markov Model POS taggers with various numbers of hidden states on data sets of different sizes. Expand
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