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Found 15 papers, 2 papers with code
RankNAS: Efficient Neural Architecture Search by Pairwise Ranking
This paper addresses the efficiency challenge of Neural Architecture Search (NAS) by formulating the task as a ranking problem.
Layer-Wise Multi-View Learning for Neural Machine Translation
In this way, in addition to the topmost encoder layer (referred to as the primary view), we also incorporate an intermediate encoder layer as the auxiliary view.
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
In encoder-decoder neural models, multiple encoders are in general used to represent the contextual information in addition to the individual sentence.
Learning Architectures from an Extended Search Space for Language Modeling
Neural architecture search (NAS) has advanced significantly in recent years but most NAS systems restrict search to learning architectures of a recurrent or convolutional cell.
Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks
We show that our model is able to improve the performance of model, compared with existing convolutional recurrent networks.
Kingsoft's Neural Machine Translation System for WMT19
This paper describes the Kingsoft AI Lab{'}s submission to the WMT2019 news translation shared task.
Learning Deep Transformer Models for Machine Translation
Transformer is the state-of-the-art model in recent machine translation evaluations.
STAC: Science Toolkit Based on Chinese Idiom Knowledge Graph
Chinese idioms (Cheng Yu) have seen five thousand years{'} history and culture of China, meanwhile they contain large number of scientific achievement of ancient China.
Reinforcement Learning Based Emotional Editing Constraint Conversation Generation
In recent years, the generation of conversation content based on deep neural networks has attracted many researchers.
Downhole Track Detection via Multiscale Conditional Generative Adversarial Nets
A multiscale shared convolution structure is adopted in the discriminator network to further supervise training the generator.
A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding
In this work, we propose a novel self-attentive model with gate mechanism to fully utilize the semantic correlation between slot and intent.
Chinese Grammatical Error Diagnosis Based on Policy Gradient LSTM Model
Chinese grammatical error diagnosis system is a very important tool, which can help Chinese learners automatically diagnose grammatical errors in many scenarios.
ALS at IJCNLP-2017 Task 5: Answer Localization System for Multi-Choice Question Answering in Exams
Multi-choice question answering in exams is a typical QA task.
Building Large Chinese Corpus for Spoken Dialogue Research in Specific Domains
To our best knowledge, this is the largest Chinese spoken dialogue corpus, as well as the first one with slot information.
