Search Results for author: Ye Zhang

Found 13 papers, 2 papers with code

Effective Sequence-to-Sequence Dialogue State Tracking

no code implementations31 Aug 2021 Jeffrey Zhao, Mahdis Mahdieh, Ye Zhang, Yuan Cao, Yonghui Wu

We also explore using Pegasus, a span prediction-based pre-training objective for text summarization, for the state tracking model.

Dialogue State Tracking Language Modelling +2

Estimating Adsorption Isotherm Parameters in Chromatography via a Virtual Injection Promoting Feed-forward Neural Network

no code implementations31 Jan 2021 Chen Xu, Ye Zhang

The means to obtain the adsorption isotherms is a fundamental open problem in competitive chromatography.

Do Human Rationales Improve Machine Explanations?

no code implementations WS 2019 Julia Strout, Ye Zhang, Raymond J. Mooney

Work on "learning with rationales" shows that humans providing explanations to a machine learning system can improve the system's predictive accuracy.

General Classification Text Classification

AceKG: A Large-scale Knowledge Graph for Academic Data Mining

no code implementations23 Jul 2018 Ruijie Wang, Yuchen Yan, Jialu Wang, Yuting Jia, Ye Zhang, Wei-Nan Zhang, Xinbing Wang

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.

Community Detection Entity Alignment +3

SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation

no code implementations NAACL 2018 Ye Zhang, Nan Ding, Radu Soricut

Supervised training of abstractive language generation models results in learning conditional probabilities over language sequences based on the supervised training signal.

Text Generation

Neural Information Retrieval: A Literature Review

no code implementations18 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.

Information Retrieval Speech Recognition

Active Discriminative Text Representation Learning

no code implementations14 Jun 2016 Ye Zhang, Matthew Lease, Byron C. Wallace

We also show that, as expected, the method quickly learns discriminative word embeddings.

Active Learning Classification +4

Rationale-Augmented Convolutional Neural Networks for Text Classification

2 code implementations EMNLP 2016 Ye Zhang, Iain Marshall, Byron C. Wallace

We present a new Convolutional Neural Network (CNN) model for text classification that jointly exploits labels on documents and their component sentences.

Classification General Classification +1

MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification

no code implementations NAACL 2016 Ye Zhang, Stephen Roller, Byron Wallace

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.

General Classification Sentence Classification +1

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

19 code implementations IJCNLP 2017 Ye Zhang, Byron Wallace

Convolutional Neural Networks (CNNs) have recently achieved remarkably strong performance on the practically important task of sentence classification (kim 2014, kalchbrenner 2014, johnson 2014).

Classification General Classification +1

Generating ordered list of Recommended Items: a Hybrid Recommender System of Microblog

no code implementations21 Aug 2012 Yingzhen Li, Ye Zhang

Precise recommendation of followers helps in improving the user experience and maintaining the prosperity of twitter and microblog platforms.

Recommendation Systems

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