We also explore using Pegasus, a span prediction-based pre-training objective for text summarization, for the state tracking model.
Ranked #1 on Multi-domain Dialogue State Tracking on MULTIWOZ 2.2
Dialogue state tracking (DST) is a pivotal component in task-oriented dialogue systems.
The means to obtain the adsorption isotherms is a fundamental open problem in competitive chromatography.
Work on "learning with rationales" shows that humans providing explanations to a machine learning system can improve the system's predictive accuracy.
Most existing knowledge graphs (KGs) in academic domains suffer from problems of insufficient multi-relational information, name ambiguity and improper data format for large-scale machine processing.
Supervised training of abstractive language generation models results in learning conditional probabilities over language sequences based on the supervised training signal.
A fundamental advantage of neural models for NLP is their ability to learn representations from scratch.
no code implementations • 18 Nov 2016 • Ye Zhang, Md Mustafizur Rahman, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Matthew Lease
A recent "third wave" of Neural Network (NN) approaches now delivers state-of-the-art performance in many machine learning tasks, spanning speech recognition, computer vision, and natural language processing.
We present a new Convolutional Neural Network (CNN) model for text classification that jointly exploits labels on documents and their component sentences.
We introduce a novel, simple convolution neural network (CNN) architecture - multi-group norm constraint CNN (MGNC-CNN) that capitalizes on multiple sets of word embeddings for sentence classification.
Convolutional Neural Networks (CNNs) have recently achieved remarkably strong performance on the practically important task of sentence classification (kim 2014, kalchbrenner 2014, johnson 2014).
Precise recommendation of followers helps in improving the user experience and maintaining the prosperity of twitter and microblog platforms.