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Graph-Based Word Alignment for Clinical Language Evaluation
Graph-Based Word Alignment Clinical Language Evaluation
2016/2/23
Among the more recent applications for natural language processing algorithms has been the analysis of spoken language data for diagnostic and remedial purposes, fueled by the demand for simple, objec...
Cross-lingual Sentiment Lexicon Learning With Bilingual Word Graph Label Propagation
Sentiment Lexicon Learning Bilingual Word Graph Label
2015/9/15
In this article we address the task of cross-lingual sentiment lexicon learning, which aims to automatically generate sentiment lexicons for the target languages with available English sentiment lexic...
Similarity-Driven Semantic Role Induction via Graph Partitioning
Similarity-Driven Semantic Role Induction Graph Partitioning
2015/9/14
As in many natural language processing tasks, data-driven models based on supervised learning have become the method of choice for semantic role labeling. These models are guaranteed to perform well w...
OntoLearn Reloaded:A Graph-Based Algorithm for Taxonomy Induction
OntoLearn Reloaded Graph-Based Algorithm Taxonomy Induction
2015/9/11
In 2004 we published in this journal an article describing OntoLearn, one of the first systems to automatically induce a taxonomy from documents and Web sites. Since then, OntoLearn has continued to b...
Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction
Clustering and Diversifying Web Search Graph Word Sense Induction
2015/9/11
Web search result clustering aims to facilitate information search on the Web. Rather than the results of a query being presented as a flat list, they are grouped on the basis of their similarity and ...
Graph-Based Generation of Referring Expressions
Graph-Based Generation Referring Expressions
2015/8/28
This article describes a new approach to the generation of referring expressions. We propose to formalize a scene (consisting of a set of objects with various properties and relations) as a labeled di...
Graph-based Re-ranking using Acoustic Feature Similarity between Search Results for Spoken Term Detection on Low-resource Languages
Random Walk Spoken Term Detection
2014/11/27
Acoustic feature similarity between search results has been shown to be very helpful for the task of spoken term detection (STD).A graph-based re-ranking approach for STD has been proposed based on th...
FolkDiffusion: A Graph-Based Tag Suggestion Method for Folksonomies（图）
A Graph-Based Tag Suggestion Method Folksonomies
2010/1/24
Collaborative social tagging is a popular and convenient way to organize web resources. All tags compose into a semantic structure named as folksonomies. Automatic tag suggestions can ease tagging act...