Results 1 - 10 of 1,261,617

Topic-Sensitive PageRank

by Taher Haveliwala , 2002
"... In the original PageRank algorithm for improving the ranking of search-query results, a single PageRank vector is computed, using the link structure of the Web, to capture the relative "importance" of Web pages, independent of any particular search query. To yield more accurate search resu ..."
Abstract - Cited by 535 (10 self) - Add to MetaCart
results, we propose computing a set of PageRank vectors, biased using a set of representative topics, to capture more accurately the notion of importance with respect to a particular topic. By using these (precomputed) biased PageRank vectors to generate query-specific importance scores for pages at query

BLEU: a Method for Automatic Evaluation of Machine Translation

by Kishore Papineni, Salim Roukos, Todd Ward, Wei-jing Zhu , 2002
"... Human evaluations of machine translation are extensive but expensive. Human evaluations can take months to finish and involve human labor that can not be reused. ..."
Abstract - Cited by 2107 (4 self) - Add to MetaCart
Human evaluations of machine translation are extensive but expensive. Human evaluations can take months to finish and involve human labor that can not be reused.

Nonparametric estimation of average treatment effects under exogeneity: a review

by Guido W. Imbens - REVIEW OF ECONOMICS AND STATISTICS , 2004
"... Recently there has been a surge in econometric work focusing on estimating average treatment effects under various sets of assumptions. One strand of this literature has developed methods for estimating average treatment effects for a binary treatment under assumptions variously described as exogen ..."
Abstract - Cited by 597 (26 self) - Add to MetaCart
Recently there has been a surge in econometric work focusing on estimating average treatment effects under various sets of assumptions. One strand of this literature has developed methods for estimating average treatment effects for a binary treatment under assumptions variously described

Automatic labeling of semantic roles

by Daniel Gildea - Computational Linguistics , 2002
"... We present a system for identifying the semantic relationships, or semantic roles, filled by constituents of a sentence within a semantic frame. Various lexical and syntactic features are derived from parse trees and used to derive statistical classifiers from hand-annotated training data. 1 ..."
Abstract - Cited by 742 (15 self) - Add to MetaCart
We present a system for identifying the semantic relationships, or semantic roles, filled by constituents of a sentence within a semantic frame. Various lexical and syntactic features are derived from parse trees and used to derive statistical classifiers from hand-annotated training data. 1

Automatic Word Sense Discrimination

by Hinrich Schütze - Journal of Computational Linguistics , 1998
"... This paper presents context-group discrimination, a disambiguation algorithm based on clustering. Senses are interpreted as groups (or clusters) of similar contexts of the ambiguous word. Words, contexts, and senses are represented in Word Space, a high-dimensional, real-valued space in which closen ..."
Abstract - Cited by 530 (1 self) - Add to MetaCart
is automatic and unsupervised in both training and application: senses are induced from a corpus without labeled training insta,nces or other external knowledge sources. The paper demonstrates good performance of context-group discrimination for a sample of natural and artificial ambiguous words

Toward an instance theory of automatization

by Gordon D. Logan - Psychological Review , 1988
"... This article presents a theory in which automatization is construed as the acquisition of a domain-specific knowledge base, formed of separate representations, instances, of each exposure to the task. Processing is considered automatic if it relies on retrieval of stored instances, which will occur ..."
Abstract - Cited by 613 (37 self) - Add to MetaCart
This article presents a theory in which automatization is construed as the acquisition of a domain-specific knowledge base, formed of separate representations, instances, of each exposure to the task. Processing is considered automatic if it relies on retrieval of stored instances, which will occur

A Systematic Comparison of Various Statistical Alignment Models

by Franz Josef Och, Hermann Ney - COMPUTATIONAL LINGUISTICS , 2003
"... ..."
Abstract - Cited by 1831 (70 self) - Add to MetaCart
Abstract not found

Controlled and automatic human information processing

by Walter Schneider, Richard M. Shiffrin - I. Detection, search, and attention. Psychological Review , 1977
"... A two-process theory of human information processing is proposed and applied to detection, search, and attention phenomena. Automatic processing is activa-tion of a learned sequence of elements in long-term memory that is initiated by appropriate inputs and then proceeds automatically—without subjec ..."
Abstract - Cited by 841 (15 self) - Add to MetaCart
A two-process theory of human information processing is proposed and applied to detection, search, and attention phenomena. Automatic processing is activa-tion of a learned sequence of elements in long-term memory that is initiated by appropriate inputs and then proceeds automatically

Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory

by Richard M. Shiffrin, Walter Schneider - Psychological Review , 1977
"... The two-process theory of detection, search, and attention presented by Schneider and Shiffrin is tested and extended in a series of experiments. The studies demonstrate the qualitative difference between two modes of information processing: automatic detection and controlled search. They trace the ..."
Abstract - Cited by 805 (12 self) - Add to MetaCart
of categories is shown to improve controlled search performance. A general framework for human information processing is proposed; the framework emphasizes the roles of automatic and controlled processing. The theory is compared to and contrasted with extant models of search and attention.

Automatic Musical Genre Classification Of Audio Signals

by George Tzanetakis, Georg Essl, Perry Cook - IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING , 2002
"... ... describe music. They are commonly used to structure the increasing amounts of music available in digital form on the Web and are important for music information retrieval. Genre categorization for audio has traditionally been performed manually. A particular musical genre is characterized by sta ..."
Abstract - Cited by 811 (32 self) - Add to MetaCart
by statistical properties related to the instrumentation, rhythmic structure and form of its members. In this work, algorithms for the automatic genre categorization of audio signals are described. More specifically, we propose a set of features for representing texture and instrumentation. In addition a novel
Results 1 - 10 of 1,261,617