Fetching the paper…
Reading the bibliography…
Given the overwhelming number of emails, an effective subject line becomes essential to better inform the recipient of the email's content.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams. 1992 · 1992
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Learning algorithms for keyphrase extraction
Peter D Turney. 2000 · 2000
Earlier work this paper cites.
Combining linguistic and machine learning techniques for email summarization
Smaranda Muresan, Evelyne Tzoukermann, and Judith L Klavans. 2001 · 2001
Earlier work this paper cites.
Facilitating email thread access by extractive summary generation
Ani Nenkova and Amit Bagga. 2003 · 2003
Earlier work this paper cites.
Task-focused summarization of email
Simon Corston-Oliver, Eric Ringger, Michael Gamon, and Richard Campbell. 2004 · 2004
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.
The enron corpus: A new dataset for email classification research
Bryan Klimt and Yiming Yang. 2004 · 2004
Earlier work this paper cites.
Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Textrank: Bringing order into text
Rada Mihalcea and Paul Tarau. 2004 · 2004
Earlier work this paper cites.
Summarizing email threads
Owen Rambow, Lokesh Shrestha, John Chen, and Chirsty Lauridsen. 2004 · 2004
Earlier work this paper cites.
Generating overview summaries of ongoing email thread discussions
Stephen Wan and Kathy McKeown. 2004 · 2004
Earlier work this paper cites.
Detecting action-items in e-mail
Paul N Bennett and Jaime Carbonell. 2005 · 2005
Earlier work this paper cites.
Summarizing email conversations with clue words
Giuseppe Carenini, Raymond T Ng, and Xiaodong Zhou. 2007 · 2007
Earlier work this paper cites.
Summarizing emails with conversational cohesion and subjectivity
Giuseppe Carenini, Raymond T Ng, and Xiaodong Zhou. 2008 · 2008
Earlier work this paper cites.
Generating summary keywords for emails using topics
Mark Dredze, Hanna M Wallach, Danny Puller, and Fernando Pereira. 2008 · 2008
Earlier work this paper cites.
Single-document and multi-document summarization techniques for email threads using sentence compression
David M Zajic, Bonnie J Dorr, and Jimmy Lin. 2008 · 2008
Earlier work this paper cites.
Regression-based summarization of email conversations
Jan Ulrich, Giuseppe Carenini, Gabriel Murray, and Raymond T Ng. 2009 · 2009
Earlier work this paper cites.
Multi-sentence compression: Finding shortest paths in word graphs
Katja Filippova. 2010 · 2010
Cited alongside, same era.
Classifying action items for semantic email
Simon Scerri, Gerhard Gossen, Brian Davis, and Siegfried Handschuh. 2010 · 2010
Cited alongside, same era.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
Cited alongside, same era.
On the difficulty of training recurrent neural networks
Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio. 2013 · 2013
Cited alongside, same era.
Meteor universal: Language specific translation evaluation for any target language
Michael Denkowski and Alon Lavie. 2014 · 2014
Cited alongside, same era.
Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
Work hard, play hard: Email classification on the avocado and enron corpora
Sakhar Alkhereyf and Owen Rambow. 2017 · 2017
Later among the works it cites.
An actor-critic algorithm for sequence prediction
Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron Courville, and Yoshua Bengio. 2017 · 2017
Later among the works it cites.
Source-side prediction for neural headline generation
Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, and Masaaki Nagata. 2017 · 2017
Later among the works it cites.
Keyword extraction from emails
Shibamouli Lahiri, Rada Mihalcea, and P-H Lai. 2017 · 2017
Later among the works it cites.
Towards an automatic turing test: Learning to evaluate dialogue responses
Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, and Joelle Pineau. 2017 · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Building a dataset for summarization and keyword extraction from emails
Vanessa Loza, Shibamouli Lahiri, Rada Mihalcea, and Po-Hsiang Lai. 2014 · 2014
Cited alongside, same era.
Predicting power relations between participants in written dialog from a single thread
Vinodkumar Prabhakaran and Owen Rambow. 2014 · 2014
Cited alongside, same era.
Gender and power: How gender and gender environment affect manifestations of power
Vinodkumar Prabhakaran, Emily E Reid, and Owen Rambow. 2014 · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2015 · 2015
Cited alongside, same era.
Grammatical error correction with neural reinforcement learning
Keisuke Sakaguchi, Matt Post, and Benjamin Van Durme. 2017 · 2017
Later among the works it cites.
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
Later among the works it cites.
Recent advances on neural headline generation
Shi-Qi Shen, Yan-Kai Lin, Cun-Chao Tu, Yu Zhao, Zhi-Yuan Liu, Mao-Song Sun, et al. 2017 · 2017
Later among the works it cites.
From neural sentence summarization to headline generation: a coarse-to-fine approach
Jiwei Tan, Xiaojun Wan, and Jianguo Xiao. 2017 · 2017
Later among the works it cites.
Low-resource neural headline generation
Ottokar Tilk and Tanel Alumäe. 2017 · 2017
Later among the works it cites.
Sentence simplification with deep reinforcement learning
Xingxing Zhang and Mirella Lapata. 2017 · 2017
Later among the works it cites.
Fast abstractive summarization with reinforce-selected sentence rewriting
Yen-Chun Chen and Mohit Bansal. 2018 · 2018
Later among the works it cites.
A unified model for extractive and abstractive summarization using inconsistency loss
Wan-Ting Hsu, Chieh-Kai Lin, Ming-Ying Lee, Kerui Min, Jing Tang, and Min Sun. 2018 · 2018
Later among the works it cites.
Deep reinforcement learning for sequence to sequence models
Yaser Keneshloo, Tian Shi, Chandan K Reddy, and Naren Ramakrishnan. 2018 · 2018
Later among the works it cites.
Actionable email intent modeling with reparametrized rnns
Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Madian Khabsa, Ahmed Hassan Awadallah, and Patrick Pantel. 2018 · 2018
Later among the works it cites.
A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2018 · 2018
Later among the works it cites.
Unsupervised abstractive meeting summarization with multi-sentence compression and budgeted submodular maximization
Guokan Shang, Wensi Ding, Zekun Zhang, Antoine Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, and Jean-Pierre Lorré. 2018 · 2018
Later among the works it cites.
Metric for automatic machine translation evaluation based on universal sentence representations
Hiroki Shimanaka, Tomoyuki Kajiwara, and Mamoru Komachi. 2018 · 2018
Later among the works it cites.