暂无分享,去创建一个
[1] Jade Goldstein-Stewart,et al. The use of MMR, diversity-based reranking for reordering documents and producing summaries , 1998, SIGIR '98.
[2] Jeffrey Pennington,et al. Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection , 2011, NIPS.
[3] Bowen Zhou,et al. Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond , 2016, CoNLL.
[4] Phil Blunsom,et al. Teaching Machines to Read and Comprehend , 2015, NIPS.
[5] Bowen Zhou,et al. Sequence-to-Sequence RNNs for Text Summarization , 2016, ArXiv.
[6] Devdatt P. Dubhashi,et al. Extractive Summarization using Continuous Vector Space Models , 2014, CVSC@EACL.
[7] Jason Weston,et al. A Neural Attention Model for Abstractive Sentence Summarization , 2015, EMNLP.
[8] Lucy Vanderwende,et al. Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources , 2007, EMNLP.
[9] Ming Zhou,et al. TGSum: Build Tweet Guided Multi-Document Summarization Dataset , 2015, AAAI.
[10] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[11] Wenpeng Yin,et al. Optimizing Sentence Modeling and Selection for Document Summarization , 2015, IJCAI.
[12] Ryan T. McDonald. A Study of Global Inference Algorithms in Multi-document Summarization , 2007, ECIR.
[13] Furu Wei,et al. AttSum: Joint Learning of Focusing and Summarization with Neural Attention , 2016, COLING.
[14] Yoshua Bengio,et al. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling , 2014, ArXiv.
[15] Mirella Lapata,et al. Neural Summarization by Extracting Sentences and Words , 2016, ACL.
[16] Daraksha Parveen,et al. Topical Coherence for Graph-based Extractive Summarization , 2015, EMNLP.
[17] Mirella Lapata,et al. Automatic Generation of Story Highlights , 2010, ACL.
[18] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[19] Jade Goldstein-Stewart,et al. The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries , 1998, SIGIR Forum.
[20] Jiawei Han,et al. Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions , 2010, COLING.
[21] Hua Li,et al. Document Summarization Using Conditional Random Fields , 2007, IJCAI.
[22] Xiaojun Wan,et al. Towards a Unified Approach to Simultaneous Single-Document and Multi-Document Summarizations , 2010, COLING.
[23] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[24] Dragomir R. Radev,et al. LexRank: Graph-based Lexical Centrality as Salience in Text Summarization , 2004, J. Artif. Intell. Res..