2017

Diversity driven Attention Model for Query-based Abstractive Summarization

Nema, Preksha, Khapra, Mitesh, Laha, Anirban et al.

Understand

Abstractive summarization aims to generate a shorter version of the document covering all the salient points in a compact and coherent fashion.

On the other hand, query-based summarization highlights those points that are relevant in the context of a given query.
The encode-attend-decode paradigm has achieved notable success in machine translation, extractive summarization, dialog systems, etc.
But it suffers from the drawback of generation of repeated phrases.

Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Automatic summarization
Inderjeet Mani. 2001 · 2001
Earlier work this paper cites.
Automatic text summarization using a machine learning approach
Joel Larocca Neto, Alex A Freitas, and Celso AA Kaestner. 2002 · 2002
Earlier work this paper cites.
Lexrank: Graph-based lexical centrality as salience in text summarization
Günes Erkan and Dragomir R Radev. 2004 · 2004
Earlier work this paper cites.
Bbn/umd at duc-2004: Topiary
David Zajic, Bonnie Dorr, and Richard Schwartz. ???? · 2004
Earlier work this paper cites.
Comparing the roles of textual, acoustic and spoken-language features on spontaneous-conversation summarization
Xiaodan Zhu and Gerald Penn. 2006 · 2006
Earlier work this paper cites.
A survey on automatic text summarization
Dipanjan Das and André FT Martins. 2007 · 2007
Earlier work this paper cites.
Summarizing multiple spoken documents: finding evidence from untranscribed audio
Xiaodan Zhu, Gerald Penn, and Frank Rudzicz. 2009 · 2009
Earlier work this paper cites.

Long story short–global unsupervised models for keyphrase based meeting summarization
Korbinian Riedhammer, Benoit Favre, and Dilek Hakkani-Tür. 2010 · 2010
Cited alongside, same era.
A survey of text summarization techniques
Ani Nenkova and Kathleen McKeown. 2012 · 2012
Cited alongside, same era.
Overcoming the lack of parallel data in sentence compression
Katja Filippova and Yasemin Altun. 2013 · 2013
Cited alongside, same era.
Self reinforcement for important passage retrieval
Ricardo Ribeiro, Luís Marujo, David Martins de Matos, Joao P Neto, Anatole Gershman, and Jaime Carbonell. 2013 · 2013
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
Original
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Original
Diederik Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Heads: Headline generation as sequence prediction using an abstract feature-rich space
Carlos A Colmenares, Marina Litvak, Amin Mantrach, and Fabrizio Silvestri. 2015 · 2015
Cited alongside, same era.
Lcsts: A large scale chinese short text summarization dataset
Original
Baotian Hu, Qingcai Chen, and Fangze Zhu. 2015 · 2015
Cited alongside, same era.

Generating news headlines with recurrent neural networks
Original
Konstantin Lopyrev. 2015 · 2015
Later among the works it cites.
A neural attention model for abstractive sentence summarization
Original
Alexander M Rush, Sumit Chopra, and Jason Weston. 2015 · 2015
Later among the works it cites.
Distraction-based neural networks for modeling documents
Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei, and Hui Jiang. 2016 · 2016
Later among the works it cites.
Abstractive sentence summarization with attentive recurrent neural networks
Sumit Chopra, Michael Auli, Alexander M Rush, and SEAS Harvard. 2016 · 2016
Later among the works it cites.
A persona-based neural conversation model
Original
Jiwei Li, Michel Galley, Chris Brockett, Georgios P Spithourakis, Jianfeng Gao, and Bill Dolan. 2016 · 2016
Later among the works it cites.
Abstractive text summarization using sequence-to-sequence rnns and beyond
Original
Ramesh Nallapati, Bowen Zhou, Caglar Gulcehre, Bing Xiang, et al. 2016 · 2016
Later among the works it cites.
Temporal attention model for neural machine translation
Original
Baskaran Sankaran, Haitao Mi, Yaser Al-Onaizan, and Abe Ittycheriah. 2016 · 2016
Later among the works it cites.

alphaXiv searches the wider corpus for related work and actual follow-ups.

alphaXiv is searching for related work…

Reading the bibliography…