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Deep Learning

1752 directly classified papers

Papers per year

Papers

A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue EACL 2017
Improving Neural Knowledge Base Completion with Cross-Lingual Projections EACL 2017
Towards Neural Machine Translation with Partially Aligned Corpora IJCNLP 2017
NRU-HSE at SemEval-2017 Task 4: Tweet Quantification Using Deep Learning Architecture SEMEVAL 2017
NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings SEMEVAL 2017
NMT or SMT: Case Study of a Narrow-domain English-Latvian Post-editing Project IJCNLP 2017
Named Entity Recognition with Stack Residual LSTM and Trainable Bias Decoding IJCNLP 2017
Improving Neural Machine Translation through Phrase-based Forced Decoding IJCNLP 2017
Generation of Large-Scale Simulated Utterances in Virtual Rooms to Train Deep-Neural Networks for Far-Field Speech Recognition in Google Home INTERSPEECH 2017
On Design of Robust Deep Models for CHiME-4 Multi-Channel Speech Recognition with Multiple Configurations of Array Microphones INTERSPEECH 2017
Attention Based CLDNNs for Short-Duration Acoustic Scene Classification INTERSPEECH 2017
A Comparison of Sequence-to-Sequence Models for Speech Recognition INTERSPEECH 2017
Neural System Combination for Machine Translation ACL 2017
Differentiable Scheduled Sampling for Credit Assignment ACL 2017
A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification IJCNLP 2017
Self-Normalizing Neural Networks NIPS 2017
Decoupling "when to update" from "how to update" NIPS 2017
Addressing the Data Sparsity Issue in Neural AMR Parsing EACL 2017
A Hierarchical Neural Model for Learning Sequences of Dialogue Acts EACL 2017
May I take your order? A Neural Model for Extracting Structured Information from Conversations EACL 2017
Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization EACL 2017
Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network EMNLP 2017
Globally Normalized Reader EMNLP 2017
Deal or No Deal? End-to-End Learning of Negotiation Dialogues EMNLP 2017
A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output EMNLP 2017