Automatic Text Summarization with a Reduced Vocabulary Using Continuous Space Vectors
暂无分享,去创建一个
[1] Jason Weston,et al. A unified architecture for natural language processing: deep neural networks with multitask learning , 2008, ICML '08.
[2] Jade Goldstein-Stewart,et al. The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries , 1998, SIGIR Forum.
[3] Lance De Vine,et al. A Study on the Use of Word Embeddings and PageRank for Vietnamese Text Summarization , 2015, ADCS.
[4] George Giannakopoulos,et al. TAC2011 MultiLing Pilot Overview , 2011, TAC.
[5] Devdatt P. Dubhashi,et al. Extractive Summarization using Continuous Vector Space Models , 2014, CVSC@EACL.
[6] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[7] Rada Mihalcea,et al. TextRank: Bringing Order into Text , 2004, EMNLP.
[8] Chin-Yew Lin,et al. ROUGE: A Package for Automatic Evaluation of Summaries , 2004, ACL 2004.
[9] Georgios Balikas,et al. Learning language-independent sentence representations for multi-lingual, multi-document summarization , 2015 .
[10] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[11] Jade Goldstein-Stewart,et al. The use of MMR, diversity-based reranking for reordering documents and producing summaries , 1998, SIGIR '98.
[12] Juan-Manuel Torres-Moreno,et al. Automatic Text Summarization , 2014 .
[13] Juan-Manuel Torres-Moreno,et al. Automatic Text Summarization: Torres-Moreno/Automatic Text Summarization , 2014 .