Zhiguo Wang

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Singapore Management University ∙ Amazon ∙ ibm ∙ University of Connecticut ∙ The Chinese University of Hong Kong, Shenzhen

Research Staff Member at IBM T.J. Watson Research Center since 2014, Postdoctoral Fellow of Computer Science Department, Brandeis University from 2013-2014, Ph.D., Computer Science, Institute of Automation, Chinese Academy of Sciences, 2013.

Entity-level Factual Consistency of Abstractive Text Summarization

A key challenge for abstractive summarization is ensuring factual consis...
02/18/2021 ∙ by Feng Nan, et al. ∙ 0 ∙ share

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Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

Most recently, there has been significant interest in learning contextua...
12/18/2020 ∙ by Peng Shi, et al. ∙ 10 ∙ share

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Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction

In open-domain question answering, questions are highly likely to be amb...
11/26/2020 ∙ by Yifan Gao, et al. ∙ 0 ∙ share

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Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems

While many distributed optimization algorithms have been proposed for so...
11/10/2020 ∙ by Zhiguo Wang, et al. ∙ 0 ∙ share

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End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems

We propose an end-to-end approach for synthetic QA data generation. Our ...
10/12/2020 ∙ by Siamak Shakeri, et al. ∙ 0 ∙ share

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Hybrid Tree-based Models for Insurance Claims

Two-part models and Tweedie generalized linear models (GLMs) have been u...
06/10/2020 ∙ by Zhiyu Quan, et al. ∙ 0 ∙ share

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Optimally Combining Classifiers for Semi-Supervised Learning

This paper considers semi-supervised learning for tabular data. It is wi...
06/07/2020 ∙ by Zhiguo Wang, et al. ∙ 15 ∙ share

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Master-Auxiliary: an efficient aggregation strategy for video anomaly detection

The aim of surveillance video anomaly detection is to detect events that...
05/24/2020 ∙ by Zhiguo Wang, et al. ∙ 10 ∙ share

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Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

Question Answering (QA) is in increasing demand as the amount of informa...
04/24/2020 ∙ by Alexander R. Fabbri, et al. ∙ 0 ∙ share

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Triplet Online Instance Matching Loss for Person Re-identification

Mining the shared features of same identity in different scene, and the ...
02/24/2020 ∙ by Ye Li, et al. ∙ 0 ∙ share

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Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer

Conversation structure is useful for both understanding the nature of co...
11/25/2019 ∙ by Henghui Zhu, et al. ∙ 0 ∙ share

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A Boost Strategy to the Generative Error Based Video Anomaly Detection Algorithms

The generation error (GE) based algorithms show excellent performances i...
11/19/2019 ∙ by Zhiguo Wang, et al. ∙ 5 ∙ share

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Multiple-Source Ellipsoidal Localization Using Acoustic Energy Measurements

In this paper, the multiple-source ellipsoidal localization problem base...
11/17/2019 ∙ by Fanqin Meng, et al. ∙ 0 ∙ share

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Universal Text Representation from BERT: An Empirical Study

We present a systematic investigation of layer-wise BERT activations for...
10/17/2019 ∙ by Xiaofei Ma, et al. ∙ 0 ∙ share

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Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering

BERT model has been successfully applied to open-domain QA tasks. Howeve...
08/22/2019 ∙ by Zhiguo Wang, et al. ∙ 11 ∙ share

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Multi-Granular Text Encoding for Self-Explaining Categorization

Self-explaining text categorization requires a classifier to make a pred...
07/19/2019 ∙ by Zhiguo Wang, et al. ∙ 0 ∙ share

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Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network

Previous cross-lingual knowledge graph (KG) alignment studies rely on en...
05/28/2019 ∙ by Kun Xu, et al. ∙ 0 ∙ share

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Semantic Neural Machine Translation using AMR

It is intuitive that semantic representations can be useful for machine ...
02/19/2019 ∙ by Linfeng Song, et al. ∙ 16 ∙ share

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SQL-to-Text Generation with Graph-to-Sequence Model

Previous work approaches the SQL-to-text generation task using vanilla S...
09/14/2018 ∙ by Kun Xu, et al. ∙ 0 ∙ share

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Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks

Multi-hop reading comprehension focuses on one type of factoid question,...
09/06/2018 ∙ by Linfeng Song, et al. ∙ 0 ∙ share

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N-ary Relation Extraction using Graph State LSTM

Cross-sentence n-ary relation extraction detects relations among n entit...
08/28/2018 ∙ by Linfeng Song, et al. ∙ 0 ∙ share

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Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model

Existing neural semantic parsers mainly utilize a sequence encoder, i.e....
08/23/2018 ∙ by Kun Xu, et al. ∙ 6 ∙ share

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A Graph-to-Sequence Model for AMR-to-Text Generation

The problem of AMR-to-text generation is to recover a text representing ...
05/07/2018 ∙ by Linfeng Song, et al. ∙ 0 ∙ share

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Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks

Celebrated Sequence to Sequence learning (Seq2Seq) and its fruitful vari...
04/03/2018 ∙ by Kun Xu, et al. ∙ 0 ∙ share

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Knowledge Base Relation Detection via Multi-View Matching

Relation detection is a core component for Knowledge Base Question Answe...
03/01/2018 ∙ by Yang Yu, et al. ∙ 0 ∙ share

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Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering

A popular recent approach to answering open-domain questions is to first...
11/14/2017 ∙ by Shuohang Wang, et al. ∙ 0 ∙ share

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A Unified Query-based Generative Model for Question Generation and Question Answering

We propose a query-based generative model for solving both tasks of ques...
09/04/2017 ∙ by Linfeng Song, et al. ∙ 0 ∙ share

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R^3: Reinforced Reader-Ranker for Open-Domain Question Answering

In recent years researchers have achieved considerable success applying ...
08/31/2017 ∙ by Shuohang Wang, et al. ∙ 0 ∙ share

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k-Nearest Neighbor Augmented Neural Networks for Text Classification

In recent years, many deep-learning based models are proposed for text c...
08/25/2017 ∙ by Zhiguo Wang, et al. ∙ 0 ∙ share

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Bilateral Multi-Perspective Matching for Natural Language Sentences

Natural language sentence matching is a fundamental technology for a var...
02/13/2017 ∙ by Zhiguo Wang, et al. ∙ 0 ∙ share

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AMR-to-text Generation with Synchronous Node Replacement Grammar

This paper addresses the task of AMR-to-text generation by leveraging sy...
02/01/2017 ∙ by Linfeng Song, et al. ∙ 0 ∙ share

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Multi-Perspective Context Matching for Machine Comprehension

Previous machine comprehension (MC) datasets are either too small to tra...
12/13/2016 ∙ by Zhiguo Wang, et al. ∙ 0 ∙ share

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Supervised Attentions for Neural Machine Translation

In this paper, we improve the attention or alignment accuracy of neural ...
07/30/2016 ∙ by Haitao Mi, et al. ∙ 0 ∙ share

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Sense Embedding Learning for Word Sense Induction

Conventional word sense induction (WSI) methods usually represent each i...
06/17/2016 ∙ by Linfeng Song, et al. ∙ 0 ∙ share

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Vocabulary Manipulation for Neural Machine Translation

In order to capture rich language phenomena, neural machine translation ...
05/10/2016 ∙ by Haitao Mi, et al. ∙ 0 ∙ share

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Coverage Embedding Models for Neural Machine Translation

In this paper, we enhance the attention-based neural machine translation...
05/10/2016 ∙ by Haitao Mi, et al. ∙ 0 ∙ share

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Sentence Similarity Learning by Lexical Decomposition and Composition

Most conventional sentence similarity methods only focus on similar part...
02/23/2016 ∙ by Zhiguo Wang, et al. ∙ 0 ∙ share

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Semi-supervised Clustering for Short Text via Deep Representation Learning

In this work, we propose a semi-supervised method for short text cluster...
02/22/2016 ∙ by Zhiguo Wang, et al. ∙ 0 ∙ share

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FAQ-based Question Answering via Word Alignment

In this paper, we propose a novel word-alignment-based method to solve t...
07/09/2015 ∙ by Zhiguo Wang, et al. ∙ 0 ∙ share

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Using a Dynamic Neural Field Model to Explore a Direct Collicular Inhibition Account of Inhibition of Return

When the interval between a transient ash of light (a "cue") and a secon...
07/22/2013 ∙ by Jason Satel, et al. ∙ 0 ∙ share

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Zhiguo Wang

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