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Single Document Keyphrase Extraction Using Neighborhood Knowledge
TLDR
This paper proposes to use a small number of nearest neighbor documents to provide more knowledge to improve single document keyphrase extraction. Expand
Manifold-Ranking Based Topic-Focused Multi-Document Summarization
TLDR
A novel extractive approach based on manifold-ranking of sentences to this summarization task can significantly outperform existing approaches of the top performing systems in DUC tasks and baseline approaches. Expand
Learning Cross-Media Joint Representation With Sparse and Semisupervised Regularization
TLDR
A novel feature learning algorithm for cross-media data, called joint representation learning (JRL), which is able to explore jointly the correlation and semantic information in a unified optimization framework and can not only reduce the dimension of the original features, but also incorporate theCross-media correlation into the final representation, which further improves the performance of both cross- media retrieval and single-media retrieval. Expand
Abstractive Document Summarization with a Graph-Based Attentional Neural Model
TLDR
A novel graph-based attention mechanism in the sequence-to-sequence framework to address the saliency factor of summarization, which has been overlooked by prior works and is competitive with state-of-the-art extractive methods. Expand
Towards an Iterative Reinforcement Approach for Simultaneous Document Summarization and Keyword Extraction
TLDR
A novel iterative reinforcement approach to simultaneously extractingsummary and keywords from single document under the assumption that the summary and keywords of a document can be mutually boosted. Expand
Incremental Kernel Null Space Discriminant Analysis for Novelty Detection
TLDR
Experiments demonstrate that the proposed Incremental Kernel Null Space based Discriminant Analysis (IKNDA) algorithm yields comparable performance as the batch KNDA yet significantly reduces the computational complexity, and markedly outperform approaches using deep neural network (DNN) classifiers. Expand
Exploiting neighborhood knowledge for single document summarization and keyphrase extraction
TLDR
This article proposes using a small number of nearest neighbor documents to improve document summarization and keyphrase extraction for the specified document, under the assumption that the neighbor documents could provide additional knowledge and more clues. Expand
Attention-based LSTM Network for Cross-Lingual Sentiment Classification
TLDR
An attention-based bilingual representation learning model which learns the distributed semantics of the documents in both the source and the target languages and proposes a hierarchical attention mechanism for the bilingual LSTM network. Expand
CollabRank: Towards a Collaborative Approach to Single-Document Keyphrase Extraction
TLDR
This paper proposes a novel approach named CollabRank to collaborative single-document keyphrase extraction by making use of mutual influences of multiple documents within a cluster context, and finds that the system performance relies positively on the quality of document clusters. Expand
Cross-Language Document Summarization Based on Machine Translation Quality Prediction
TLDR
This paper proposes to consider the translation quality of each sentence in the English-to-Chinese cross-language summarization process, and suggests that the English sentences with high translation quality and high informative-ness are selected and translated to form the Chinese summary. Expand
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