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Multilingual Metaphor Processing: Experiments with Semi-Supervised and Unsupervised Learning
Semi-Supervised Unsupervised Learning
2017/4/6
Highly frequent in language and communication, metaphor represents a significant challenge
for Natural Language Processing (NLP) applications. Computational work on metaphor has
traditionally evolve...
Large-scale annotated corpora are a prerequisite to developing high-performance semantic role
labeling systems. Unfortunately, such corpora are expensive to produce, limited in size, and
may not be ...
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
Semi-Supervised Recursive Autoencoders Predicting Sentiment Distributions
2015/6/12
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space representations for multi...
Semi-Supervised SimHash for Efficient Document Similarity Search
Semi-Supervised SimHash Efficient Document Similarity Search
2015/1/24
Semi-Supervised SimHash for Efficient Document Similarity Search.
Semi-supervised Learning for Image Annotation Based on Conditional Random Fields（图）
Image Annotation Conditional Random Fields
2015/1/24
Automatic image annotation (AIA) has been proved to be an effective and promising solution to automatically deduce the high-level semantics from low-level visual features. Due to the inherent ambiguit...