Fetching the paper…
Reading the bibliography…
Modeling natural language inference is a very challenging task.
Freebase: A shared database of structured general human knowledge
Kurt D. Bollacker, Robert P. Cook, and Patrick Tufts. 2007 · 1963
Earlier work this paper cites.
Signature verification using a siamese time delay neural network
Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, and Roopak Shah. 1993 · 1993
Earlier work this paper cites.
Wordnet: A lexical database for english
George A. Miller. 1995 · 1995
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Semantic similarity based on corpus statistics and lexical taxonomy
Jay J. Jiang and David W. Conrath. 1997 · 1997
Earlier work this paper cites.
The PASCAL recognising textual entailment challenge
Ido Dagan, Oren Glickman, and Bernardo Magnini. 2005 · 2005
Earlier work this paper cites.
Recognizing textual entailment using lexical similarity
Valentin Jijkoun and Maarten de Rijke. 2005 · 2005
Earlier work this paper cites.
Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing , chapter Hypothesis Transformation and Semantic Variability Rules Used in Recognizing Textual Entailment. Association for Computational Linguistics
Adrian Iftene and Alexandra Balahur-Dobrescu. 2007 · 2007
Earlier work this paper cites.
A phrase-based alignment model for natural language inference
Bill MacCartney, Michel Galley, and Christopher D. Manning. 2008 · 2008
Earlier work this paper cites.
Natural Language Inference
Bill MacCartney. 2009 · 2009
Earlier work this paper cites.
Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
The stanford corenlp natural language processing toolkit
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel, Steven Bethard, and David McClosky. 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.
A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
Earlier work this paper cites.
Revisiting word embedding for contrasting meaning
Zhigang Chen, Wei Lin, Qian Chen, Xiaoping Chen, Si Wei, Hui Jiang, and Xiaodan Zhu. 2015 · 2015
Earlier work this paper cites.
Retrofitting word vectors to semantic lexicons
Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard H. Hovy, and Noah A. Smith. 2015 · 2015
Earlier work this paper cites.
Learning semantic word embeddings based on ordinal knowledge constraints
Quan Liu, Hui Jiang, Si Wei, Zhen-Hua Ling, and Yu Hu. 2015 · 2015
Cited alongside, same era.
Reasoning about entailment with neural attention
Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, and Phil Blunsom. 2015 · 2015
Cited alongside, same era.
Order-embeddings of images and language
Ivan Vendrov, Ryan Kiros, Sanja Fidler, and Raquel Urtasun. 2015 · 2015
Cited alongside, same era.
From paraphrase database to compositional paraphrase model and back
John Wieting, Mohit Bansal, Kevin Gimpel, and Karen Livescu. 2015 · 2015
Cited alongside, same era.
A neural knowledge language model
Sungjin Ahn, Heeyoul Choi, Tanel Pärnamaa, and Yoshua Bengio. 2016 · 2016
Unsupervised learning of task-specific tree structures with tree-lstms
Jihun Choi, Kang Min Yoo, and Sang-goo Lee. 2017 · 2017
Closest in time.
Supervised learning of universal sentence representations from natural language inference data
Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, and Antoine Bordes. 2017 · 2017
Closest in time.
Natural language inference over interaction space
Yichen Gong, Heng Luo, and Jian Zhang. 2017 · 2017
Closest in time.
A structured self-attentive sentence embedding
Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio. 2017 · 2017
Closest in time.
Learned in translation: Contextualized word vectors
Bryan McCann, James Bradbury, Caiming Xiong, and Richard Socher. 2017 · 2017
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
A fast unified model for parsing and sentence understanding
Samuel R. Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D. Manning, and Christopher Potts. 2016 · 2016
Cited alongside, same era.
Distraction-based neural networks for modeling document
Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, and Hui Jiang. 2016a · 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.
Deep fusion lstms for text semantic matching
Pengfei Liu, Xipeng Qiu, Jifan Chen, and Xuanjing Huang. 2016a · 2016
Cited alongside, same era.
Modelling interaction of sentence pair with coupled-lstms
Pengfei Liu, Xipeng Qiu, Yaqian Zhou, Jifan Chen, and Xuanjing Huang. 2016b · 2016
Cited alongside, same era.
Natural language inference by tree-based convolution and heuristic matching
Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, and Zhi Jin. 2016 · 2016
Cited alongside, same era.
A decomposable attention model for natural language inference
Ankur P. Parikh, Oscar Täckström, Dipanjan Das, and Jakob Uszkoreit. 2016 · 2016
Cited alongside, same era.
Closest in time.
Nikola Mrksic, Ivan Vulic, Diarmuid Ó Séaghdha, Ira Leviant, Roi Reichart, Milica Gasic, Anna Korhonen, and Steve J. Young. 2017 · 2017
Closest in time.
Shortcut-stacked sentence encoders for multi-domain inference
Yixin Nie and Mohit Bansal. 2017 · 2017
Closest in time.
Disan: Directional self-attention network for rnn/cnn-free language understanding
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, and Chengqi Zhang. 2017 · 2017
Closest in time.
Bilateral multi-perspective matching for natural language sentences
Zhiguo Wang, Wael Hamza, and Radu Florian. 2017 · 2017
Closest in time.
A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel R. Bowman. 2017 · 2017
Closest in time.
Neural semantic encoders
Hong Yu and Tsendsuren Munkhdalai. 2017a · 2017
Closest in time.
Neural tree indexers for text understanding
Hong Yu and Tsendsuren Munkhdalai. 2017b · 2017
Closest in time.
Memory-augmented chinese-uyghur neural machine translation
Shiyue Zhang, Gulnigar Mahmut, Dong Wang, and Askar Hamdulla. 2017b · 2017
Closest in time.
Breaking nli systems with sentences that require simple lexical inferences
Max Glockner, Vered Shwartz, and Yoav Goldberg. 2018 · 2018
Closest in time.
Reinforced self-attention network: a hybrid of hard and soft attention for sequence modeling
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, and Chengqi Zhang. 2018 · 2018
Closest in time.
A compare-propagate architecture with alignment factorization for natural language inference
Yi Tay, Luu Anh Tuan, and Siu Cheung Hui. 2018 · 2018
Closest in time.