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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
Co-Training for Cross-Lingual Sentiment Classification
TLDR
A cotraining approach is proposed to making use of unlabeled Chinese data for cross-lingual sentiment classification, which leverages an available English corpus for Chinese sentiment classification by using the English corpus as training data. Expand
Multi-document summarization using cluster-based link analysis
TLDR
Experimental results on the DUC2001 and DUC2002 datasets demonstrate the good effectiveness of the proposed summarization models and demonstrate that the ClusterCMRW model is more robust than the ClusterHITS model, with respect to different cluster numbers. 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
Evolutionary timeline summarization: a balanced optimization framework via iterative substitution
TLDR
A novel framework for the web mining problem named Evolutionary Timeline Summarization (ETS), which aims to return the evolution trajectory along the timeline, consisting of individual but correlated summaries of each date, emphasizing relevance, coverage, coherence and cross-date diversity. 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
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
Towards a Unified Approach to Simultaneous Single-Document and Multi-Document Summarizations
TLDR
Experimental results on the benchmark DUC datasets demonstrate the effectiveness of the proposed approach for both single-document and multi-document summarizations. 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
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