b'Chenwei Zhang'

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

Text categorization is an essential task in Web content analysis. Consid...
02/23/2021 ∙ by Xinyang Zhang, et al. ∙ 0 ∙ share

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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

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