Xuanjing Huang

research

∙ 10/14/2021

Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models

Plug-and-play functionality allows deep learning models to adapt well to...

Xin Zhou, et al. ∙

research

∙ 10/13/2021

Towards Efficient NLP: A Standard Evaluation and A Strong Baseline

Supersized pre-trained language models have pushed the accuracy of vario...

Xiangyang Liu, et al. ∙

research

∙ 10/06/2021

KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier

Pre-trained models are widely used in fine-tuning downstream tasks with ...

Linyang Li, et al. ∙

research

∙ 09/28/2021

Template-free Prompt Tuning for Few-shot NER

Prompt-based methods have been successfully applied in sentence-level fe...

Ruotian Ma, et al. ∙

research

∙ 09/26/2021

Paradigm Shift in Natural Language Processing

In the era of deep learning, modeling for most NLP tasks has converged t...

Tianxiang Sun, et al. ∙

research

∙ 09/12/2021

Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval

Existing research for image text retrieval mainly relies on sentence-lev...

Zhihao Fan, et al. ∙

research

∙ 09/10/2021

Learning to Teach with Student Feedback

Knowledge distillation (KD) has gained much attention due to its effecti...

Yitao Liu, et al. ∙

research

∙ 08/19/2021

Fine-Grained Element Identification in Complaint Text of Internet Fraud

Existing system dealing with online complaint provides a final decision ...

Tong Liu, et al. ∙

research

∙ 06/22/2021

SENT: Sentence-level Distant Relation Extraction via Negative Training

Distant supervision for relation extraction provides uniform bag labels ...

Ruotian Ma, et al. ∙

research

∙ 06/21/2021

TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning

Existing research for image captioning usually represents an image using...

Zhihao Fan, et al. ∙

research

∙ 06/01/2021

SpanNER: Named Entity Re-/Recognition as Span Prediction

Recent years have seen the paradigm shift of Named Entity Recognition (N...

Jinlan Fu, et al. ∙

research

∙ 05/31/2021

Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models

A sequence-to-sequence learning with neural networks has empirically pro...

Chong Li, et al. ∙

research

∙ 05/28/2021

Accelerating BERT Inference for Sequence Labeling via Early-Exit

Both performance and efficiency are crucial factors for sequence labelin...

Xiaonan Li, et al. ∙

research

∙ 05/28/2021

Early Exiting with Ensemble Internal Classifiers

As a simple technique to accelerate inference of large-scale pre-trained...

Tianxiang Sun, et al. ∙

research

∙ 05/08/2021

Certified Robustness to Text Adversarial Attacks by Randomized [MASK]

Recently, few certified defense methods have been developed to provably ...

Jiehang Zeng, et al. ∙

research

∙ 04/17/2021

Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure

Numerous online conversations are produced on a daily basis, resulting i...

Lu Ji, et al. ∙

research

∙ 04/09/2021

Larger-Context Tagging: When and Why Does It Work?

The development of neural networks and pretraining techniques has spawne...

Jinlan Fu, et al. ∙

research

∙ 04/07/2021

Enhancing Scientific Papers Summarization with Citation Graph

Previous work for text summarization in scientific domain mainly focused...

Chenxin An, et al. ∙

research

∙ 03/25/2021

Mask Attention Networks: Rethinking and Strengthen Transformer

Transformer is an attention-based neural network, which consists of two ...

Zhihao Fan, et al. ∙

research

∙ 03/22/2021

Alleviate Exposure Bias in Sequence Prediction with Recurrent Neural Networks

A popular strategy to train recurrent neural networks (RNNs), known as “...

Liping Yuan, et al. ∙

research

∙ 03/21/2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

Various robustness evaluation methodologies from different perspectives ...

Tao Gui, et al. ∙

research

∙ 03/21/2021

An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-Level Structural Information

In this paper, we focus on the problem of unsupervised image-sentence ma...

Zejun Li, et al. ∙

research

∙ 12/29/2020

Generating Adversarial Examples in Chinese Texts Using Sentence-Pieces

Adversarial attacks in texts are mostly substitution-based methods that ...

Linyang Li, et al. ∙

research

∙ 12/19/2020

Uncertainty-Aware Label Refinement for Sequence Labeling

Conditional random fields (CRF) for label decoding has become ubiquitous...

Tao Gui, et al. ∙

research

∙ 12/14/2020

Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling

In a customer service system, dialogue summarization can boost service e...

Yicheng Zou, et al. ∙

research

∙ 12/14/2020

Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders

Automatic chat summarization can help people quickly grasp important inf...

Yicheng Zou, et al. ∙

research

∙ 12/12/2020

SenSeNet: Neural Keyphrase Generation with Document Structure

Keyphrase Generation (KG) is the task of generating central topics from ...

Yichao Luo, et al. ∙

research

∙ 12/01/2020

An Enhanced Knowledge Injection Model for Commonsense Generation

Commonsense generation aims at generating plausible everyday scenario de...

Zhihao Fan, et al. ∙

research

∙ 11/17/2020

Generating universal language adversarial examples by understanding and enhancing the transferability across neural models

Deep neural network models are vulnerable to adversarial attacks. In man...

Liping Yuan, et al. ∙

research

∙ 11/16/2020

Text Information Aggregation with Centrality Attention

A lot of natural language processing problems need to encode the text se...

Jingjing Gong, et al. ∙

research

∙ 11/13/2020

RethinkCWS: Is Chinese Word Segmentation a Solved Task?

The performance of the Chinese Word Segmentation (CWS) systems has gradu...

Jinlan Fu, et al. ∙

research

∙ 10/11/2020

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

Neural network-based models augmented with unsupervised pre-trained know...

Yiran Chen, et al. ∙

research

∙ 10/01/2020

CoLAKE: Contextualized Language and Knowledge Embedding

With the emerging branch of incorporating factual knowledge into pre-tra...

Tianxiang Sun, et al. ∙

research

∙ 09/18/2020

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

We present fastHan, an open-source toolkit for four basic tasks in Chine...

Zhichao Geng, et al. ∙

research

∙ 09/16/2020

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

Aspect-based sentiment analysis (ABSA) aims to predict the sentiment tow...

Xiaoyu Xing, et al. ∙

research

∙ 06/20/2020

Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble

Despite neural networks have achieved prominent performance on many natu...

Yi Zhou, et al. ∙

research

∙ 04/29/2020

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

In this paper, we focus on automatic disease diagnosis with reinforcemen...

Kangenbei Liao, et al. ∙

research

∙ 04/29/2020

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...

Ruize Wang, et al. ∙

research

∙ 04/26/2020

Heterogeneous Graph Neural Networks for Extractive Document Summarization

As a crucial step in extractive document summarization, learning cross-s...

Danqing Wang, et al. ∙

research

∙ 04/24/2020

FLAT: Chinese NER Using Flat-Lattice Transformer

Recently, the character-word lattice structure has been proved to be eff...

Xiaonan Li, et al. ∙

research

∙ 04/19/2020

Extractive Summarization as Text Matching

This paper creates a paradigm shift with regard to the way we build neur...

Ming Zhong, et al. ∙

research

∙ 04/13/2020

Unified Multi-Criteria Chinese Word Segmentation with BERT

Multi-Criteria Chinese Word Segmentation (MCCWS) aims at finding word bo...

Zhen Ke, et al. ∙

research

∙ 03/18/2020

Pre-trained Models for Natural Language Processing: A Survey

Recently, the emergence of pre-trained models (PTMs) has brought natural...

Xipeng Qiu, et al. ∙

research

∙ 02/24/2020

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

Fine-tuning pre-trained language models like BERT has become an effectiv...

Yige Xu, et al. ∙

research

∙ 02/05/2020

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

We study the problem of injecting knowledge into large pre-trained model...

Ruize Wang, et al. ∙

research

∙ 01/12/2020

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

While neural network-based models have achieved impressive performance o...

Jinlan Fu, et al. ∙

research

∙ 12/17/2019

Chinese Named Entity Recognition Augmented with Lexicon Memory

Inspired by a concept of content-addressable retrieval from cognitive sc...

Yi Zhou, et al. ∙

research

∙ 11/18/2019

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

Multi-task learning (MTL) has received considerable attention, and numer...

Tao Gui, et al. ∙

research

∙ 11/12/2019

Learning Sparse Sharing Architectures for Multiple Tasks

Most existing deep multi-task learning models are based on parameter sha...

Tianxiang Sun, et al. ∙

research

∙ 11/11/2019

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...

Ruize Wang, et al. ∙

Xuanjing Huang

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