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Generating Adversarial Examples in Chinese Texts Using Sentence-Pieces
Adversarial attacks in texts are mostly substitution-based methods that ...
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Uncertainty-Aware Label Refinement for Sequence Labeling
Conditional random fields (CRF) for label decoding has become ubiquitous...
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Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling
In a customer service system, dialogue summarization can boost service e...
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Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders
Automatic chat summarization can help people quickly grasp important inf...
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SenSeNet: Neural Keyphrase Generation with Document Structure
Keyphrase Generation (KG) is the task of generating central topics from ...
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An Enhanced Knowledge Injection Model for Commonsense Generation
Commonsense generation aims at generating plausible everyday scenario de...
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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...
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Text Information Aggregation with Centrality Attention
A lot of natural language processing problems need to encode the text se...
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RethinkCWS: Is Chinese Word Segmentation a Solved Task?
The performance of the Chinese Word Segmentation (CWS) systems has gradu...
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CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems
Neural network-based models augmented with unsupervised pre-trained know...
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CoLAKE: Contextualized Language and Knowledge Embedding
With the emerging branch of incorporating factual knowledge into pre-tra...
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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...
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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...
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Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble
Despite neural networks have achieved prominent performance on many natu...
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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...
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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...
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Heterogeneous Graph Neural Networks for Extractive Document Summarization
As a crucial step in extractive document summarization, learning cross-s...
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FLAT: Chinese NER Using Flat-Lattice Transformer
Recently, the character-word lattice structure has been proved to be eff...
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Extractive Summarization as Text Matching
This paper creates a paradigm shift with regard to the way we build neur...
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Unified Multi-Criteria Chinese Word Segmentation with BERT
Multi-Criteria Chinese Word Segmentation (MCCWS) aims at finding word bo...
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Pre-trained Models for Natural Language Processing: A Survey
Recently, the emergence of pre-trained models (PTMs) has brought natural...
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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...
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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...
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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...
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Chinese Named Entity Recognition Augmented with Lexicon Memory
Inspired by a concept of content-addressable retrieval from cognitive sc...
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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...
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Learning Sparse Sharing Architectures for Multiple Tasks
Most existing deep multi-task learning models are based on parameter sha...
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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...
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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...
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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...
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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...
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Exploring Domain Shift in Extractive Text Summarization
Although domain shift has been well explored in many NLP applications, i...
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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...
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Simplify the Usage of Lexicon in Chinese NER
Recently, many works have tried to utilizing word lexicon to augment the...
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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...
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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 ...
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Multi-Criteria Chinese Word Segmentation with Transformer
Different linguistic perspectives cause many diverse segmentation criter...
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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...
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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 ...
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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 ...
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How to Fine-Tune BERT for Text Classification?
Language model pre-training has proven to be useful in learning universa...
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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...
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VCWE: Visual Character-Enhanced Word Embeddings
Chinese is a logographic writing system, and the shape of Chinese charac...
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Contextualized Non-local Neural Networks for Sequence Learning
Recently, a large number of neural mechanisms and models have been propo...
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Long Short-Term Memory with Dynamic Skip Connections
In recent years, long short-term memory (LSTM) has been successfully use...
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Meta-Learning Multi-task Communication
In this paper, we describe a general framework: Parameters Read-Write Ne...
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Deformable Stacked Structure for Named Entity Recognition
Neural architecture for named entity recognition has achieved great succ...
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Exploring Shared Structures and Hierarchies for Multiple NLP Tasks
Designing shared neural architecture plays an important role in multi-ta...
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Gaussian Word Embedding with a Wasserstein Distance Loss
Comparing with word embedding that based on the point representation, di...
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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 ...
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