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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...
Multi-labeled corpora, where each document is tagged with a set of labels, are ubiquitous. When the number of unique labels in the dataset is large, there are naturally some dependencies among the lab...
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking functions from supervis...
Multi-instance Multi-label Learning for Relation Extraction
Multi-instance Multi-label Learning Relation Extraction
2015/6/12
Distant supervision for relation extraction (RE) – gathering training data by aligning a database of facts with text – is an efficient approach to scale RE to thousands of different relations. However...
Label and Literature: Borders and Spaces in Postcolonial Migrant Literature in Australia
Australian Literature Label and Literature Postcolonial Migrant Litera Borders and Spaces
2008/10/20
In the novel The Ganges and Its Tributaries by Christopher Cyrill the main character
Christopher recalls a model of India. His father had carefully constructed the
model shortly after his migratio...
Multi-modal Multi-label Semantic Indexing of Images Based on Hybrid Ensemble Learning（图）
Multi-modal Multi-label Semantic Indexing Hybrid Ensemble Learning
2015/1/24
Automatic image annotation (AIA) refers to the association of words to whole images which is considered as a promising and effective approach to bridge the semantic gap between low-level visual featur...
Incorporating Prior Knowledge into Multi-label Boosting for Cross-Modal Image Annotation and Retrieval
Cross-Modal Image Annotation Retrieval
2015/1/24
Automatic image annotation (AIA) has proved to be an effective and promising solution to automatically deduce the high-level semantics from low-level visual features. In this paper, we formulate the t...