Papers
Churn Intent Detection in Multilingual Chatbot Conversations and Social Media
Christian Abbet, Meryem M’hamdi, Athanasios Giannakopoulos et al.
Active Learning for Interactive Neural Machine Translation of Data Streams
Álvaro Peris, Francisco Casacuberta
Commonsense Knowledge Base Completion and Generation
Itsumi Saito, Kyosuke Nishida, Hisako Asano et al.
Learning to Embed Semantic Correspondence for Natural Language Understanding
Sangkeun Jung, Jinsik Lee, Jiwon Kim
Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering
Deepak Gupta, Pabitra Lenka, Asif Ekbal et al.
Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
Matthias Blohm, Glorianna Jagfeld, Ekta Sood et al.
Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction
Maha Elbayad, Laurent Besacier, Jakob Verbeek
Global Attention for Name Tagging
Boliang Zhang, Spencer Whitehead, Lifu Huang et al.
From Strings to Other Things: Linking the Neighborhood and Transposition Effects in Word Reading
Stéphan Tulkens, Dominiek Sandra, Walter Daelemans
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini, Sebastian Riedel
Corpus-Driven Thematic Hierarchy Induction
Ilia Kuznetsov, Iryna Gurevych
A Unified Neural Network Model for Geolocating Twitter Users
Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond Wong et al.
A Trio Neural Model for Dynamic Entity Relatedness Ranking
Tu Ngoc Nguyen, Tuan Tran, Wolfgang Nejdl
Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems
Van-Khanh Tran, Le-Minh Nguyen
Continuous Word Embedding Fusion via Spectral Decomposition
Tianfan Fu, Cheng Zhang, Stephan Mandt
Embedded-State Latent Conditional Random Fields for Sequence Labeling
Dung Thai, Sree Harsha Ramesh, Shikhar Murty et al.
Proceedings of the 22nd Conference on Computational Natural Language Learning
Anna Korhonen, Ivan Titov
Open problem: Improper learning of mixtures of Gaussians
Elad Hazan, Livni Roi
Open Problem: The Dependence of Sample Complexity Lower Bounds on Planning Horizon
Nan Jiang, Alekh Agarwal
Certified Computation from Unreliable Datasets
Themis Gouleakis, Christos Tzamos, Manolis Zampetakis
Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form
Srinadh Bhojanapalli, Nicolas Boumal, Prateek Jain et al.
Iterate Averaging as Regularization for Stochastic Gradient Descent
Gergely Neu, Lorenzo Rosasco
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints
Yanjun Han, Ayfer Özgür, Tsachy Weissman
Minimax Bounds on Stochastic Batched Convex Optimization
John Duchi, Feng Ruan, Chulhee Yun