Xuanjing Huang

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Professor of Computer Science at Iowa State University since 2001, Scientist at Paracel from 1999-2001, Doctor of Philosophy (Ph.D.) Field Of StudyComputer Science at Penn State University from1985-1990.

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems

Neural network-based models augmented with unsupervised pre-trained know...
10/11/2020 ∙ by Yiran Chen, et al. ∙ 0 ∙ share

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CoLAKE: Contextualized Language and Knowledge Embedding

With the emerging branch of incorporating factual knowledge into pre-tra...
10/01/2020 ∙ by Tianxiang Sun, et al. ∙ 21 ∙ share

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fastHan: A BERT-based Joint Many-Task Toolkit for Chinese NLP

We present fastHan, an open-source toolkit for four basic tasks in Chine...
09/18/2020 ∙ by Zhichao Geng, et al. ∙ 0 ∙ share

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Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) aims to predict the sentiment tow...
09/16/2020 ∙ by Xiaoyu Xing, et al. ∙ 0 ∙ share

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Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble

Despite neural networks have achieved prominent performance on many natu...
06/20/2020 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning

In this paper, we focus on automatic disease diagnosis with reinforcemen...
04/29/2020 ∙ by Kangenbei Liao, et al. ∙ 0 ∙ share

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Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection

We study the detection of propagandistic text fragments in news articles...
04/29/2020 ∙ by Ruize Wang, et al. ∙ 7 ∙ share

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Heterogeneous Graph Neural Networks for Extractive Document Summarization

As a crucial step in extractive document summarization, learning cross-s...
04/26/2020 ∙ by Danqing Wang, et al. ∙ 0 ∙ share

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FLAT: Chinese NER Using Flat-Lattice Transformer

Recently, the character-word lattice structure has been proved to be eff...
04/24/2020 ∙ by Xiaonan Li, et al. ∙ 0 ∙ share

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Extractive Summarization as Text Matching

This paper creates a paradigm shift with regard to the way we build neur...
04/19/2020 ∙ by Ming Zhong, et al. ∙ 0 ∙ share

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Unified Multi-Criteria Chinese Word Segmentation with BERT

Multi-Criteria Chinese Word Segmentation (MCCWS) aims at finding word bo...
04/13/2020 ∙ by Zhen Ke, et al. ∙ 0 ∙ share

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Pre-trained Models for Natural Language Processing: A Survey

Recently, the emergence of pre-trained models (PTMs) has brought natural...
03/18/2020 ∙ by Xipeng Qiu, et al. ∙ 0 ∙ share

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Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation

Fine-tuning pre-trained language models like BERT has become an effectiv...
02/24/2020 ∙ by Yige Xu, et al. ∙ 0 ∙ share

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K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

We study the problem of injecting knowledge into large pre-trained model...
02/05/2020 ∙ by Ruize Wang, et al. ∙ 0 ∙ share

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Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study

While neural network-based models have achieved impressive performance o...
01/12/2020 ∙ by Jinlan Fu, et al. ∙ 0 ∙ share

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Chinese Named Entity Recognition Augmented with Lexicon Memory

Inspired by a concept of content-addressable retrieval from cognitive sc...
12/17/2019 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features

Multi-task learning (MTL) has received considerable attention, and numer...
11/18/2019 ∙ by Tao Gui, et al. ∙ 0 ∙ share

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Learning Sparse Sharing Architectures for Multiple Tasks

Most existing deep multi-task learning models are based on parameter sha...
11/12/2019 ∙ by Tianxiang Sun, et al. ∙ 0 ∙ share

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Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication

Visual storytelling aims to generate a narrative paragraph from a sequen...
11/11/2019 ∙ by Ruize Wang, et al. ∙ 20 ∙ share

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Discrete Argument Representation Learning for Interactive Argument Pair Identification

In this paper, we focus on extracting interactive argument pairs from tw...
11/05/2019 ∙ by Lu Ji, et al. ∙ 0 ∙ share

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A Closer Look at Data Bias in Neural Extractive Summarization Models

In this paper, we take stock of the current state of summarization datas...
09/30/2019 ∙ by Ming Zhong, et al. ∙ 0 ∙ share

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Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis

Cross-domain sentiment analysis is currently a hot topic in the research...
09/18/2019 ∙ by Minlong Peng, et al. ∙ 0 ∙ share

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Exploring Domain Shift in Extractive Text Summarization

Although domain shift has been well explored in many NLP applications, i...
08/30/2019 ∙ by Danqing Wang, et al. ∙ 0 ∙ share

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GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge

Word Sense Disambiguation (WSD) aims to find the exact sense of an ambig...
08/20/2019 ∙ by Luyao Huang, et al. ∙ 0 ∙ share

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Simplify the Usage of Lexicon in Chinese NER

Recently, many works have tried to utilizing word lexicon to augment the...
08/16/2019 ∙ by Minlong Peng, et al. ∙ 0 ∙ share

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DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks

Variants dropout methods have been designed for the fully-connected laye...
07/25/2019 ∙ by Lin Zehui, et al. ∙ 0 ∙ share

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Searching for Effective Neural Extractive Summarization: What Works and What's Next

The recent years have seen remarkable success in the use of deep neural ...
07/08/2019 ∙ by Ming Zhong, et al. ∙ 0 ∙ share

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Multi-Criteria Chinese Word Segmentation with Transformer

Different linguistic perspectives cause many diverse segmentation criter...
06/28/2019 ∙ by Xipeng Qiu, et al. ∙ 0 ∙ share

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Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning

In this work, we explore the way to perform named entity recognition (NE...
06/04/2019 ∙ by Minlong Peng, et al. ∙ 0 ∙ share

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Learning Task-specific Representation for Novel Words in Sequence Labeling

Word representation is a key component in neural-network-based sequence ...
05/29/2019 ∙ by Minlong Peng, et al. ∙ 0 ∙ share

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Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation

Disentangling the content and style in the latent space is prevalent in ...
05/14/2019 ∙ by Ning Dai, et al. ∙ 0 ∙ share

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How to Fine-Tune BERT for Text Classification?

Language model pre-training has proven to be useful in learning universa...
05/14/2019 ∙ by Chi Sun, et al. ∙ 0 ∙ share

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A Unified Model for Joint Chinese Word Segmentation and Dependency Parsing

Chinese word segmentation and dependency parsing are two fundamental tas...
04/09/2019 ∙ by Hang Yan, et al. ∙ 0 ∙ share

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VCWE: Visual Character-Enhanced Word Embeddings

Chinese is a logographic writing system, and the shape of Chinese charac...
02/23/2019 ∙ by Chi Sun, et al. ∙ 0 ∙ share

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Contextualized Non-local Neural Networks for Sequence Learning

Recently, a large number of neural mechanisms and models have been propo...
11/21/2018 ∙ by Pengfei Liu, et al. ∙ 0 ∙ share

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Long Short-Term Memory with Dynamic Skip Connections

In recent years, long short-term memory (LSTM) has been successfully use...
11/09/2018 ∙ by Tao Gui, et al. ∙ 0 ∙ share

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Meta-Learning Multi-task Communication

In this paper, we describe a general framework: Parameters Read-Write Ne...
10/23/2018 ∙ by Pengfei Liu, et al. ∙ 0 ∙ share

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Deformable Stacked Structure for Named Entity Recognition

Neural architecture for named entity recognition has achieved great succ...
09/24/2018 ∙ by Shuyang Cao, et al. ∙ 0 ∙ share

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Exploring Shared Structures and Hierarchies for Multiple NLP Tasks

Designing shared neural architecture plays an important role in multi-ta...
08/23/2018 ∙ by Junkun Chen, et al. ∙ 0 ∙ share

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Gaussian Word Embedding with a Wasserstein Distance Loss

Comparing with word embedding that based on the point representation, di...
08/21/2018 ∙ by Chi Sun, et al. ∙ 0 ∙ share

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Information Aggregation via Dynamic Routing for Sequence Encoding

While much progress has been made in how to encode a text sequence into ...
06/05/2018 ∙ by Jingjing Gong, et al. ∙ 0 ∙ share

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Towards Diverse Text Generation with Inverse Reinforcement Learning

Text generation is a crucial task in NLP. Recently, several adversarial ...
04/30/2018 ∙ by Zhan Shi, et al. ∙ 0 ∙ share

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Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method

Generating plausible and fluent sentence with desired properties has lon...
02/25/2018 ∙ by Jinyue Su, et al. ∙ 0 ∙ share

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Meta Multi-Task Learning for Sequence Modeling

Semantic composition functions have been playing a pivotal role in neura...
02/25/2018 ∙ by Junkun Chen, et al. ∙ 0 ∙ share

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DAG-based Long Short-Term Memory for Neural Word Segmentation

Neural word segmentation has attracted more and more research interests ...
07/02/2017 ∙ by Xinchi Chen, et al. ∙ 0 ∙ share

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Overview of the NLPCC 2017 Shared Task: Chinese News Headline Categorization

In this paper, we give an overview for the shared task at the CCF Confer...
06/09/2017 ∙ by Xipeng Qiu, et al. ∙ 0 ∙ share

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Dynamic Compositional Neural Networks over Tree Structure

Tree-structured neural networks have proven to be effective in learning ...
05/11/2017 ∙ by Pengfei Liu, et al. ∙ 0 ∙ share

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Adversarial Multi-Criteria Learning for Chinese Word Segmentation

Different linguistic perspectives causes many diverse segmentation crite...
04/25/2017 ∙ by Xinchi Chen, et al. ∙ 0 ∙ share

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Adversarial Multi-task Learning for Text Classification

Neural network models have shown their promising opportunities for multi...
04/19/2017 ∙ by Pengfei Liu, et al. ∙ 0 ∙ share

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Knowledge Graph Representation with Jointly Structural and Textual Encoding

The objective of knowledge graph embedding is to encode both entities an...
11/26/2016 ∙ by Jiacheng Xu, et al. ∙ 0 ∙ share

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Xuanjing Huang

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