Fetching the paper…
Reading the bibliography…
Vector representations of words have heralded a transformational approach to classical problems in NLP; the most popular example is word2vec.
A synopsis of linguistic theory 1930-1955
J. Firth · 1968
Earlier work this paper cites.
Language modeling with sentence-level mixtures
Rukmini Iyer, Mari Ostendorf, and Jan Robin Rohlicek · 1994
Earlier work this paper cites.
Wordnet: A lexical database for english
George A. Miller · 1995
Earlier work this paper cites.
Convergence behavior of iteratively decoded parallel concatenated codes
Stephan ten Brink · 2001
Earlier work this paper cites.
A neural probabilistic language model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Janvin · 2003
Earlier work this paper cites.
Latent dirichlet allocation
David M. Blei, Andrew Y. Ng, and Michael I. Jordan · 2003
Earlier work this paper cites.
Hyperlex: lexical cartography for information retrieval
Jean Véronis · 2004
Earlier work this paper cites.
The PASCAL recognising textual entailment challenge
Ido Dagan, Oren Glickman, and Bernardo Magnini · 2005
Earlier work this paper cites.
The second pascal recognising textual entailment challenge
Roy Bar-Haim, Ido Dagan, Bill Dolan, Lisa Ferro, Danilo Giampiccolo, Bernardo Magnini, and Idan Szpektor · 2006
Earlier work this paper cites.
k-means++: the advantages of careful seeding
David Arthur and Sergei Vassilvitskii · 2007
Earlier work this paper cites.
The third pascal recognizing textual entailment challenge
Danilo Giampiccolo, Bernardo Magnini, Ido Dagan, and Bill Dolan · 2007
Earlier work this paper cites.
Three new graphical models for statistical language modelling
Andriy Mnih and Geoffrey E. Hinton · 2007
Earlier work this paper cites.
V-measure: A conditional entropy-based external cluster evaluation measure
Andrew Rosenberg and Julia Hirschberg · 2007
Earlier work this paper cites.
Modern Coding Theory
Thomas J. Richardson and Rüdiger L. Urbanke · 2008
Cited alongside, same era.
The role of named entities in web people search
Javier Artiles, Enrique Amigó, and Julio Gonzalo · 2009
Cited alongside, same era.
Ontonotes: The 90% solution
Sameer S. Pradhan and Nianwen Xue · 2009
Cited alongside, same era.
Semeval-2010 task 14: Word sense induction &disambiguation
Suresh Manandhar, Ioannis P. Klapaftis, Dmitriy Dligach, and Sameer Pradhan · 2010
Cited alongside, same era.
Recurrent neural network based language model
Tomas Mikolov, Martin Karafiát, Lukás Burget, Jan Cernocký, and Sanjeev Khudanpur · 2010
Cited alongside, same era.
Multi-prototype vector-space models of word meaning
Joseph Reisinger and Raymond J. Mooney · 2010
Cited alongside, same era.
Neural word embedding as implicit matrix factorization
Omer Levy and Yoav Goldberg · 2014
Later among the works it cites.
Efficient non-parametric estimation of multiple embeddings per word in vector space
Arvind Neelakantan, Jeevan Shankar, Alexandre Passos, and Andrew McCallum · 2014
Later among the works it cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning · 2014
Later among the works it cites.
From word embeddings to document distances
Matt J. Kusner, Yu Sun, Nicholas I. Kolkin, and Kilian Q. Weinberger · 2015
Later among the works it cites.
Do multi-sense embeddings improve natural language understanding?
Jiwei Li and Dan Jurafsky · 2015
Later among the works it cites.
Autoextend: Extending word embeddings to embeddings for synsets and lexemes
Sascha Rothe and Hinrich Schütze · 2015
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Flashback: decoupled lightweight wireless control
Asaf Cidon, Kanthi Nagaraj, Sachin Katti, and Pramod Viswanath · 2012
Cited alongside, same era.
Improving word representations via global context and multiple word prototypes
Eric H. Huang, Richard Socher, Christopher D. Manning, and Andrew Y. Ng · 2012
Cited alongside, same era.
The effectiveness of lloyd-type methods for the k-means problem
Rafail Ostrovsky, Yuval Rabani, Leonard J. Schulman, and Chaitanya Swamy · 2012
Cited alongside, same era.
Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
Cited alongside, same era.
A unified model for word sense representation and disambiguation
Xinxiong Chen, Zhiyuan Liu, and Maosong Sun · 2014
Cited alongside, same era.
Convolutional neural networks for sentence classification
Yoon Kim · 2014
Cited alongside, same era.
Later among the works it cites.
Improved semantic representations from tree-structured long short-term memory networks
Kai Sheng Tai, Richard Socher, and Christopher D. Manning · 2015
Later among the works it cites.
Towards universal paraphrastic sentence embeddings
John Wieting, Mohit Bansal, Kevin Gimpel, and Karen Livescu · 2015
Later among the works it cites.
A latent variable model approach to pmi-based word embeddings
Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, and Andrej Risteski · 2016
Closest in time.
Linear algebraic structure of word senses, with applications to polysemy
Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, and Andrej Risteski · 2016
Closest in time.
Siamese CBOW: optimizing word embeddings for sentence representations
Tom Kenter, Alexey Borisov, and Maarten de Rijke · 2016
Closest in time.
An empirical study of long-term personal project information management
Klen Copic Pucihar, Matjaz Kljun, John Mariani, and Alan Dix · 2016
Closest in time.