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EMNLP - 2018
Total Papers:- 1046
Total Papers accross all years:- 12236
Total Citations :- 470
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Predicting Semantic Relations using Global Graph Properties
Yuval Pinter |
Jacob Eisenstein |
Learning Scalar Adjective Intensity from Paraphrases
Anne Cocos |
Veronica Wharton |
Ellie Pavlick |
Marianna Apidianaki |
Chris Callison-Burch |
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions
Sho Yokoi |
Sosuke Kobayashi |
Kenji Fukumizu |
Jun Suzuki |
Kentaro Inui |
Neural Related Work Summarization with a Joint Context-driven Attention Mechanism
Yongzhen Wang |
Xiaozhong Liu |
Zheng Gao |
Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling
Wei Li |
Xinyan Xiao |
Yajuan Lyu |
Yuanzhuo Wang |
Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan |
Shay B. Cohen |
Mirella Lapata |
evision PDF of 'Content Selection in Deep Learning Models of Summarization
Chris Kedzie |
Kathleen McKeown |
Hal Daumé III |
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment
Dinghan Shen |
Xinyuan Zhang |
Ricardo Henao |
Lawrence Carin |
Learning Neural Representation for CLIR with Adversarial Framework
Bo Li |
Ping Cheng |
AD3: Attentive Deep Document Dater
Swayambhu Nath Ray |
Shib Sankar Dasgupta |
Partha Talukdar |
Gromov-Wasserstein Alignment of Word Embedding Spaces
David Alvarez-Melis |
Tommi Jaakkola |
Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
Hai Wang |
Hoifung Poon |
Deriving Machine Attention from Human Rationales
Yujia Bao |
Shiyu Chang |
Mo Yu |
Regina Barzilay |
Semi-Supervised Sequence Modeling with Cross-View Training
Kevin Clark |
Minh-Thang Luong |
Christopher D. Manning |
Quoc Le |
A Probabilistic Annotation Model for Crowdsourcing Coreference
Silviu Paun |
Jon Chamberlain |
Udo Kruschwitz |
Juntao Yu |
Massimo Poesio |
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