research
∙
08/03/2023
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction
With the widespread application of personalized online services, click-t...
share
research
∙
08/16/2021
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
Diabetes prediction is an important data science application in the soci...
research
∙
10/16/2020
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
Data augmentation has been demonstrated as an effective strategy for imp...
research
∙
09/30/2020
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
While neural sequence learning methods have made significant progress in...
research
∙
09/29/2020
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation
Adversarial training has been shown effective at endowing the learned re...
research
∙
09/13/2020
GIKT: A Graph-based Interaction Model for Knowledge Tracing
With the rapid development in online education, knowledge tracing (KT) h...
research
∙
08/12/2019
An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation
This paper studies graph-based recommendation, where an interaction grap...
research
∙
05/16/2019
Dynamically Fused Graph Network for Multi-hop Reasoning
Text-based question answering (TBQA) has been studied extensively in rec...
research
∙
09/12/2018
TGE-PS: Text-driven Graph Embedding with Pairs Sampling
In graphs with rich text information, constructing expressive graph repr...
research
∙
07/01/2018
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
User response prediction is a crucial component for personalized informa...
research
∙
04/24/2018
Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition
We study the problem of named entity recognition (NER) from electronic m...
research
∙
04/10/2018
QA4IE: A Question Answering based Framework for Information Extraction
Information Extraction (IE) refers to automatically extracting structure...
research
∙
03/09/2018
Collaborative Filtering with Graph-based Implicit Feedback
Introducing consumed items as users' implicit feedback in matrix factori...
research
∙
07/05/2017
