Results 1 - 10 of 517,977

Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction

by Thien Huu Nguyen, Barbara Plank, Ralph Grishman
"... We study the application of word embed-dings to generate semantic representations for the domain adaptation problem of re-lation extraction (RE) in the tree kernel-based method. We systematically evaluate various techniques to generate the seman-tic representations and demonstrate that they are effe ..."
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We study the application of word embed-dings to generate semantic representations for the domain adaptation problem of re-lation extraction (RE) in the tree kernel-based method. We systematically evaluate various techniques to generate the seman-tic representations and demonstrate

A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge

by Thomas K Landauer, Susan T. Dutnais - PSYCHOLOGICAL REVIEW , 1997
"... How do people know as much as they do with as little information as they get? The problem takes many forms; learning vocabulary from text is an especially dramatic and convenient case for research. A new general theory of acquired similarity and knowledge representation, latent semantic analysis (LS ..."
Abstract - Cited by 1772 (10 self) - Add to MetaCart
rate to schoolchildren. LSA uses no prior linguistic or perceptual similarity knowledge; it is based solely on a general mathematical learning method that achieves powerful inductive effects by extracting the right number of dimensions (e.g., 300) to represent objects and contexts. Relations to other

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

Verb Semantics And Lexical Selection

by Zhibiao Wu , 1994
"... ... structure. As Levin has addressed (Levin 1985), the decomposition of verbs is proposed for the purposes of accounting for systematic semantic-syntactic correspondences. This results in a series of problems for MT systems: inflexible verb sense definitions; difficulty in handling metaphor and new ..."
Abstract - Cited by 520 (4 self) - Add to MetaCart
... structure. As Levin has addressed (Levin 1985), the decomposition of verbs is proposed for the purposes of accounting for systematic semantic-syntactic correspondences. This results in a series of problems for MT systems: inflexible verb sense definitions; difficulty in handling metaphor

Domain Theory

by Samson Abramsky, Achim Jung - Handbook of Logic in Computer Science , 1994
"... Least fixpoints as meanings of recursive definitions. ..."
Abstract - Cited by 546 (25 self) - Add to MetaCart
Least fixpoints as meanings of recursive definitions.

Probabilistic Latent Semantic Analysis

by Thomas Hofmann - In Proc. of Uncertainty in Artificial Intelligence, UAI’99 , 1999
"... Probabilistic Latent Semantic Analysis is a novel statistical technique for the analysis of two--mode and co-occurrence data, which has applications in information retrieval and filtering, natural language processing, machine learning from text, and in related areas. Compared to standard Latent Sema ..."
Abstract - Cited by 760 (9 self) - Add to MetaCart
Semantic Analysis which stems from linear algebra and performs a Singular Value Decomposition of co-occurrence tables, the proposed method is based on a mixture decomposition derived from a latent class model. This results in a more principled approach which has a solid foundation in statistics. In order

Induction of Decision Trees

by J. R. Quinlan - MACH. LEARN , 1986
"... The technology for building knowledge-based systems by inductive inference from examples has been demonstrated successfully in several practical applications. This paper summarizes an approach to synthesizing decision trees that has been used in a variety of systems, and it describes one such syste ..."
Abstract - Cited by 4303 (4 self) - Add to MetaCart
The technology for building knowledge-based systems by inductive inference from examples has been demonstrated successfully in several practical applications. This paper summarizes an approach to synthesizing decision trees that has been used in a variety of systems, and it describes one

SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries

by James Z. Wang, Jia Li, Gio Wiederhold - IEEE Transactions on Pattern Analysis and Machine Intelligence , 2001
"... The need for efficient content-based image retrieval has increased tremendously in many application areas such as biomedicine, military, commerce, education, and Web image classification and searching. We present here SIMPLIcity (Semanticssensitive Integrated Matching for Picture LIbraries), an imag ..."
Abstract - Cited by 541 (35 self) - Add to MetaCart
), an image retrieval system, which uses semantics classification methods, a wavelet-based approach for feature extraction, and integrated region matching based upon image segmentation. As in other regionbased retrieval systems, an image is represented by a set of regions, roughly corresponding to objects

Computing semantic relatedness using Wikipedia-based explicit semantic analysis

by Evgeniy Gabrilovich, Shaul Markovitch - In Proceedings of the 20th International Joint Conference on Artificial Intelligence , 2007
"... Computing semantic relatedness of natural language texts requires access to vast amounts of common-sense and domain-specific world knowledge. We propose Explicit Semantic Analysis (ESA), a novel method that represents the meaning of texts in a high-dimensional space of concepts derived from Wikipedi ..."
Abstract - Cited by 546 (9 self) - Add to MetaCart
Computing semantic relatedness of natural language texts requires access to vast amounts of common-sense and domain-specific world knowledge. We propose Explicit Semantic Analysis (ESA), a novel method that represents the meaning of texts in a high-dimensional space of concepts derived from

Wrapper Induction for Information Extraction

by Nicholas Kushmerick , 1997
"... The Internet presents numerous sources of useful information---telephone directories, product catalogs, stock quotes, weather forecasts, etc. Recently, many systems have been built that automatically gather and manipulate such information on a user's behalf. However, these resources are usually ..."
Abstract - Cited by 612 (30 self) - Add to MetaCart
are usually formatted for use by people (e.g., the relevant content is embedded in HTML pages), so extracting their content is difficult. Wrappers are often used for this purpose. A wrapper is a procedure for extracting a particular resource's content. Unfortunately, hand-coding wrappers is tedious. We
Results 1 - 10 of 517,977