b'Chenwei Zhang'

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

Few-shot Intent Detection is challenging due to the scarcity of availabl...
10/06/2020 ∙ by Hoang Nguyen, et al. ∙ 0 ∙ share

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

Healthcare question answering assistance aims to provide customer health...
08/06/2020 ∙ by Ye Liu, et al. ∙ 15 ∙ share

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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...
06/24/2020 ∙ by Xin Luna Dong, et al. ∙ 12 ∙ share

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Octet: Online Catalog Taxonomy Enrichment with Self-Supervision

Taxonomies have found wide applications in various domains, especially o...
06/18/2020 ∙ by Yuning Mao, et al. ∙ 0 ∙ share

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

Open relation extraction is the task of extracting open-domain relation ...
04/06/2020 ∙ by Xuming Hu, et al. ∙ 14 ∙ share

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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...
04/04/2020 ∙ by Congying Xia, et al. ∙ 0 ∙ share

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Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN

We present a multi-filtering Graph Convolution Neural Network (GCN) fram...
04/03/2020 ∙ by Tingyi Wanyan, et al. ∙ 0 ∙ share

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Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings

Distributed representations of medical concepts have been used to suppor...
12/06/2019 ∙ by Shaika Chowdhury, et al. ∙ 0 ∙ share

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Generative Temporal Link Prediction via Self-tokenized Sequence Modeling

We formalize networks with evolving structures as temporal networks and ...
11/26/2019 ∙ by Yue Wang, et al. ∙ 11 ∙ share

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

Collaborations are pervasive in current science. Collaborations have bee...
11/25/2019 ∙ by Chao Lu, et al. ∙ 0 ∙ share

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Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction

Predicting patient mortality is an important and challenging problem in ...
10/15/2019 ∙ by Shaika Chowdhury, et al. ∙ 0 ∙ share

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

Distributed representations have been used to support downstream tasks i...
10/14/2019 ∙ by Shaika Chowdhury, et al. ∙ 24 ∙ share

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Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking

Counterfactual thinking describes a psychological phenomenon that people...
08/13/2019 ∙ by Yue Wang, et al. ∙ 7 ∙ share

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

In real-world question-answering (QA) systems, ill-formed questions, suc...
08/13/2019 ∙ by Ye Liu, et al. ∙ 6 ∙ share

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Structured Knowledge Discovery from Massive Text Corpus

Nowadays, with the booming development of the Internet, people benefit f...
07/23/2019 ∙ by Chenwei Zhang, et al. ∙ 0 ∙ share

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Multi-Grained Named Entity Recognition

This paper presents a novel framework, MGNER, for Multi-Grained Named En...
06/20/2019 ∙ by Congying Xia, et al. ∙ 0 ∙ share

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Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries

Online knowledge libraries refer to the online data warehouses that syst...
05/15/2019 ∙ by Jiawei Zhang, et al. ∙ 0 ∙ share

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SynonymNet: Multi-context Bilateral Matching for Entity Synonyms

Being able to automatically discover synonymous entities from a large fr...
12/31/2018 ∙ by Chenwei Zhang, et al. ∙ 0 ∙ share

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Joint Slot Filling and Intent Detection via Capsule Neural Networks

Being able to recognize words as slots and detect the intent of an utter...
12/22/2018 ∙ by Chenwei Zhang, et al. ∙ 0 ∙ share

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Data-driven Blockbuster Planning on Online Movie Knowledge Library

In the era of big data, logistic planning can be made data-driven to tak...
10/24/2018 ∙ by Ye Liu, et al. ∙ 0 ∙ share

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Finding Similar Medical Questions from Question Answering Websites

The past few years have witnessed the flourishing of crowdsourced medica...
10/14/2018 ∙ by Yaliang Li, et al. ∙ 0 ∙ share

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Deep Co-investment Network Learning for Financial Assets

Most recent works model the market structure of the stock market as a co...
09/12/2018 ∙ by Yue Wang, et al. ∙ 0 ∙ share

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Zero-shot User Intent Detection via Capsule Neural Networks

User intent detection plays a critical role in question-answering and di...
09/02/2018 ∙ by Congying Xia, et al. ∙ 0 ∙ share

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DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection

The increasing use of electronic forms of communication presents new opp...
03/23/2018 ∙ by Bokai Cao, et al. ∙ 0 ∙ share

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Multi-Task Pharmacovigilance Mining from Social Media Posts

Social media has grown to be a crucial information source for pharmacovi...
01/19/2018 ∙ by Shaika Chowdhury, et al. ∙ 0 ∙ share

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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...
11/26/2017 ∙ by Jiawei Zhang, et al. ∙ 0 ∙ share

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Bringing Semantic Structures to User Intent Detection in Online Medical Queries

The Internet has revolutionized healthcare by offering medical informati...
10/22/2017 ∙ by Chenwei Zhang, et al. ∙ 0 ∙ share

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Chenwei Zhang

Featured Co-authors

Philip S. Yu

Yang Yang

Yue Wang

Jiawei Han

Jiawei Zhang

Andrew McCallum

Qi Li

Jun Ma

Yuan Luo

Wei Fan

Tao Yang

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

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

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

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision

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

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

Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN

Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings

Generative Temporal Link Prediction via Self-tokenized Sequence Modeling

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

Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction

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

Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking

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

Structured Knowledge Discovery from Massive Text Corpus

Multi-Grained Named Entity Recognition

Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries

SynonymNet: Multi-context Bilateral Matching for Entity Synonyms

Joint Slot Filling and Intent Detection via Capsule Neural Networks

Data-driven Blockbuster Planning on Online Movie Knowledge Library

Finding Similar Medical Questions from Question Answering Websites

Deep Co-investment Network Learning for Financial Assets

Zero-shot User Intent Detection via Capsule Neural Networks

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection

Multi-Task Pharmacovigilance Mining from Social Media Posts

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

Bringing Semantic Structures to User Intent Detection in Online Medical Queries