Fetching the paper…
Reading the bibliography…
In this paper, we present a novel approach for incorporating external knowledge in Recurrent Neural Networks (RNNs).
Robust lexical features for improved neural network named-entity recognition
Abbas Ghaddar and Phillippe Langlais. 2018 · 1907
Earlier work this paper cites.
How universal and specific is emotional experience? evidence from 27 countries on five continents
Harald G. Wallbott and Klaus R. Scherer. 1986 · 1986
Earlier work this paper cites.
Satirical news detection and analysis using attention mechanism and linguistic features
Fan Yang, Arjun Mukherjee, and Eduard Dragut. 2017 · 1989
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Mining and summarizing customer reviews
Minqing Hu and Bing Liu. 2004 · 2004
Earlier work this paper cites.
Determining the sentiment of opinions
Soo-Min Kim and Eduard H. Hovy. 2004 · 2004
Earlier work this paper cites.
Opinionfinder: A system for subjectivity analysis
Theresa Wilson, Paul Hoffmann, Swapna Somasundaran, Jason Kessler, Janyce Wiebe, Yejin Choi, Claire Cardie, Ellen Riloff, and Siddharth Patwardhan. 2005 · 2005
Earlier work this paper cites.
A holistic lexicon-based approach to opinion mining
Xiaowen Ding, Bing Liu, and Philip S. Yu. 2008 · 2008
Earlier work this paper cites.
The psychological meaning of words: Liwc and computerized text analysis methods
Yla R. Tausczik and James W. Pennebaker. 2010 · 2010
Earlier work this paper cites.
Scikit-learn: Machine learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, and others. 2011 · 2011
Earlier work this paper cites.
Lexicon-based methods for sentiment analysis
Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, and Manfred Stede. 2011 · 2011
Earlier work this paper cites.
Really? well. apparently bootstrapping improves the performance of sarcasm and nastiness classifiers for online dialogue
Stephanie Lukin and Marilyn Walker. 2013 · 2013
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
Earlier work this paper cites.
Crowdsourcing a word-emotion association lexicon
Saif M. Mohammad and Peter D. Turney. 2013 · 2013
Earlier work this paper cites.
On the difficulty of training recurrent neural networks
Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio. 2013 · 2013
Earlier work this paper cites.
Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013 · 2013
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
Earlier work this paper cites.
Sentiment analysis of short informal texts
Xiaodan Zhu Svetlana Kiritchenko and Saif M. Mohammad. 2014 · 2014
Earlier work this paper cites.
Improving lexical embeddings with semantic knowledge
Mo Yu and Mark Dredze. 2014 · 2014
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Cited alongside, same era.
A neural knowledge language model
Sungjin Ahn, Heeyoul Choi, Tanel Pärnamaa, and Yoshua Bengio. 2016 · 2016
Cited alongside, same era.
Long short-term memory-networks for machine reading
Jianpeng Cheng, Li Dong, and Mirella Lapata. 2016 · 2016
Cited alongside, same era.
Creating and characterizing a diverse corpus of sarcasm in dialogue
Shereen Oraby, Vrindavan Harrison, Lena Reed, Ernesto Hernandez, Ellen Riloff, and Marilyn Walker. 2016 · 2016
Cited alongside, same era.
Reasoning about entailment with neural attention
Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, and Phil Blunsom. 2016 · 2016
Semi-supervised sequence tagging with bidirectional language models
Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, and Russell Power. 2017 · 2017
Later among the works it cites.
Semeval-2017 task 4: Sentiment analysis in twitter
Sara Rosenthal, Noura Farra, and Preslav Nakov. 2017 · 2017
Later among the works it cites.
Lexicon integrated cnn models with attention for sentiment analysis
Bonggun Shin, Timothy Lee, and Jinho D. Choi. 2017 · 2017
Later among the works it cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Later among the works it cites.
Dynamic coattention networks for question answering
Caiming Xiong, Victor Zhong, and Richard Socher. 2017 · 2017
Later among the works it cites.
Sequence classification with human attention
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Context-sensitive lexicon features for neural sentiment analysis
Zhiyang Teng, Duy-Tin Vo, and Yue Zhang. 2016 · 2016
Cited alongside, same era.
Employing external rich knowledge for machine comprehension
Bingning Wang, Shangmin Guo, Kang Liu, Shizhu He, and Jun Zhao. 2016 · 2016
Cited alongside, same era.
Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2016 · 2016
Cited alongside, same era.
Datastories at semeval-2017 task 4: Deep lstm with attention for message-level and topic-based sentiment analysis
Christos Baziotis, Nikos Pelekis, and Christos Doulkeridis. 2017 · 2017
Cited alongside, same era.
Enriching word vectors with subword information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017
Cited alongside, same era.
Bb_twtr at semeval-2017 task 4: Twitter sentiment analysis with cnns and lstms
Mathieu Cliche. 2017 · 2017
Cited alongside, same era.
Language modeling with gated convolutional networks
Yann N. Dauphin, Angela Fan, Michael Auli, and David Grangier. 2017 · 2017
Cited alongside, same era.
Maria Barrett, Joachim Bingel, Nora Hollenstein, Marek Rei, and Anders Søgaard. 2018 · 2018
Later among the works it cites.
Ntua-slp at semeval-2018 task 3: Tracking ironic tweets using ensembles of word and character level attentive rnns
Christos Baziotis, Athanasiou Nikolaos, Pinelopi Papalampidi, Athanasia Kolovou, Georgios Paraskevopoulos, Nikolaos Ellinas, and Alexandros Potamianos. 2018 · 2018
Later among the works it cites.
Ntua-slp at iest 2018: Ensemble of neural transfer methods for implicit emotion classification
Alexandra Chronopoulou, Aikaterini Margatina, Christos Baziotis, and Alexandros Potamianos. 2018 · 2018
Later among the works it cites.
Feature-wise transformations
Vincent Dumoulin, Ethan Perez, Nathan Schucher, Florian Strub, Harm de Vries, Aaron Courville, and Yoshua Bengio. 2018 · 2018
Later among the works it cites.
Deep contextualized word representations for detecting sarcasm and irony
Suzana Ilić, Edison Marrese-Taylor, Jorge Balazs, and Yutaka Matsuo. 2018 · 2018
Later among the works it cites.
Knowledge-enriched two-layered attention network for sentiment analysis
Abhishek Kumar, Daisuke Kawahara, and Sadao Kurohashi. 2018 · 2018
Later among the works it cites.
Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Later among the works it cites.
Disan: Directional self-attention network for rnn/cnn-free language understanding
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, and Chengqi Zhang. 2018 · 2018
Later among the works it cites.
Visual reasoning with multi-hop feature modulation
Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jeremie Mary, Philippe Preux, and Aaron CourvilleOlivier Pietquin. 2018 · 2018
Later among the works it cites.
Marcel Trotzek, Sven Koitka, and Christoph M. Friedrich. 2018 · 2018
Later among the works it cites.
Semeval-2018 task 3: Irony detection in english tweets
Cynthia Van Hee, Els Lefever, and Veronique Hoste. 2018 · 2018
Later among the works it cites.
Reside: Improving distantly-supervised neural relation extraction using side information
Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, and Partha Talukdar. 2018 · 2018
Later among the works it cites.
Gating mechanisms for combining character and word-level word representations: an empirical study
Jorge Balazs and Yutaka Matsuo. 2019 · 2019
Closest in time.
Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio. 2015 · 2057
Closest in time.