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EMNLP - 2017
Total Papers:- 352
Total Papers accross all years:- 12236
Total Citations :- 1765
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Learning Generic Sentence Representations Using Convolutional Neural Networks
Zhe Gan |
Yunchen Pu |
Ricardo Henao |
Chunyuan Li |
Xiaodong He |
Lawrence Carin |
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings
Bofang Li |
Tao Liu |
Zhe Zhao |
Buzhou Tang |
Aleksandr Drozd |
Anna Rogers |
Xiaoyong Du |
Deal or No Deal? End-to-End Learning of Negotiation Dialogues
Mike Lewis |
Denis Yarats |
Yann Dauphin |
Devi Parikh |
Dhruv Batra |
Cheap Translation for Cross-Lingual Named Entity Recognition
Stephen Mayhew |
Chen-Tse Tsai |
Dan Roth |
Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU
Jacob Devlin |
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings
Wei Yang |
Wei Lu |
Vincent Zheng |
Neural Machine Translation with Source-Side Latent Graph Parsing
Kazuma Hashimoto |
Yoshimasa Tsuruoka |
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks
Afshin Rahimi |
Timothy Baldwin |
Trevor Cohn |
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext
John Wieting |
Jonathan Mallinson |
Kevin Gimpel |
Learning to select data for transfer learning with Bayesian Optimization
Sebastian Ruder |
Barbara Plank |
Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network
Zi-Yi Dou |
Neural Response Generation via GAN with an Approximate Embedding Layer
Zhen Xu |
Bingquan Liu |
Baoxun Wang |
Chengjie Sun |
Xiaolong Wang |
Zhuoran Wang |
Chao Qi |
Learning Fine-Grained Expressions to Solve Math Word Problems
Danqing Huang |
Shuming Shi |
Chin-Yew Lin |
Jian Yin |
Cross-domain Semantic Parsing via Paraphrasing
Yu Su |
Xifeng Yan |
Getting the Most out of AMR Parsing
Chuan Wang |
Nianwen Xue |
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