b'Chenwei Zhang'

research

∙ 05/04/2022

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction

Unsupervised relation extraction aims to extract the relationship betwee...

Shuliang Liu, et al. ∙

research

∙ 04/29/2022

OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision

Automatic extraction of product attributes from their textual descriptio...

Xinyang Zhang, et al. ∙

research

∙ 09/14/2021

Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction

Low-resource Relation Extraction (LRE) aims to extract relation facts fr...

Xuming Hu, et al. ∙

research

∙ 08/09/2021

Team Power and Hierarchy: Understanding Team Success

Teamwork is cooperative, participative and power sharing. In science of ...

Huimin Xu, et al. ∙

research

∙ 02/23/2021

Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks

Text categorization is an essential task in Web content analysis. Consid...

Xinyang Zhang, et al. ∙

research

∙ 10/06/2020

Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection

Few-shot Intent Detection is challenging due to the scarcity of availabl...

Hoang Nguyen, et al. ∙

research

∙ 08/06/2020

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering

Healthcare question answering assistance aims to provide customer health...

Ye Liu, et al. ∙

research

∙ 06/24/2020

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

Can one build a knowledge graph (KG) for all products in the world? Know...

Xin Luna Dong, et al. ∙

research

∙ 06/18/2020

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision

Taxonomies have found wide applications in various domains, especially o...

Yuning Mao, et al. ∙

research

∙ 04/06/2020

SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction

Open relation extraction is the task of extracting open-domain relation ...

Xuming Hu, et al. ∙

research

∙ 04/04/2020

CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection

In this paper, we formulate a more realistic and difficult problem setup...

Congying Xia, et al. ∙

research

∙ 04/03/2020

Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN

We present a multi-filtering Graph Convolution Neural Network (GCN) fram...

Tingyi Wanyan, et al. ∙

research

∙ 12/06/2019

Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings

Distributed representations of medical concepts have been used to suppor...

Shaika Chowdhury, et al. ∙

research

∙ 11/26/2019

Generative Temporal Link Prediction via Self-tokenized Sequence Modeling

We formalize networks with evolving structures as temporal networks and ...

Yue Wang, et al. ∙

research

∙ 11/25/2019

Co-contributorship Network and Division of Labor in Individual Scientific Collaborations

Collaborations are pervasive in current science. Collaborations have bee...

Chao Lu, et al. ∙

research

∙ 10/15/2019

Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction

Predicting patient mortality is an important and challenging problem in ...

Shaika Chowdhury, et al. ∙

research

∙ 10/14/2019

Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare

Distributed representations have been used to support downstream tasks i...

Shaika Chowdhury, et al. ∙

research

∙ 08/13/2019

Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking

Counterfactual thinking describes a psychological phenomenon that people...

Yue Wang, et al. ∙

research

∙ 08/13/2019

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System

In real-world question-answering (QA) systems, ill-formed questions, suc...

Ye Liu, et al. ∙

research

∙ 07/23/2019

Structured Knowledge Discovery from Massive Text Corpus

Nowadays, with the booming development of the Internet, people benefit f...

Chenwei Zhang, et al. ∙

research

∙ 06/20/2019

Multi-Grained Named Entity Recognition

This paper presents a novel framework, MGNER, for Multi-Grained Named En...

Congying Xia, et al. ∙

research

∙ 05/15/2019

Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries

Online knowledge libraries refer to the online data warehouses that syst...

Jiawei Zhang, et al. ∙

research

∙ 12/31/2018

SynonymNet: Multi-context Bilateral Matching for Entity Synonyms

Being able to automatically discover synonymous entities from a large fr...

Chenwei Zhang, et al. ∙

research

∙ 12/22/2018

Joint Slot Filling and Intent Detection via Capsule Neural Networks

Being able to recognize words as slots and detect the intent of an utter...

Chenwei Zhang, et al. ∙

research

∙ 10/24/2018

Data-driven Blockbuster Planning on Online Movie Knowledge Library

In the era of big data, logistic planning can be made data-driven to tak...

Ye Liu, et al. ∙

research

∙ 10/14/2018

Finding Similar Medical Questions from Question Answering Websites

The past few years have witnessed the flourishing of crowdsourced medica...

Yaliang Li, et al. ∙

research

∙ 09/12/2018

Deep Co-investment Network Learning for Financial Assets

Most recent works model the market structure of the stock market as a co...

Yue Wang, et al. ∙

research

∙ 09/02/2018

Zero-shot User Intent Detection via Capsule Neural Networks

User intent detection plays a critical role in question-answering and di...

Congying Xia, et al. ∙

research

∙ 03/23/2018

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection

The increasing use of electronic forms of communication presents new opp...

Bokai Cao, et al. ∙

research

∙ 01/19/2018

Multi-Task Pharmacovigilance Mining from Social Media Posts

Social media has grown to be a crucial information source for pharmacovi...

Shaika Chowdhury, et al. ∙

research

∙ 11/26/2017

BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder

Network embedding aims at projecting the network data into a low-dimensi...

Jiawei Zhang, et al. ∙

research

∙ 10/22/2017

Bringing Semantic Structures to User Intent Detection in Online Medical Queries

The Internet has revolutionized healthcare by offering medical informati...

Chenwei Zhang, et al. ∙

Chenwei Zhang

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