b'Yuxian Meng'

research

∙ 12/05/2022

GNN-SL: Sequence Labeling Based on Nearest Examples via GNN

To better handle long-tail cases in the sequence labeling (SL) task, in ...

0 Shuhe Wang, et al. ∙

research

∙ 03/31/2022

kNN-NER: Named Entity Recognition with Nearest Neighbor Search

Inspired by recent advances in retrieval augmented methods in NLP <cit.>...

0 Shuhe Wang, et al. ∙

research

∙ 12/15/2021

Faster Nearest Neighbor Machine Translation

kNN based neural machine translation (kNN-MT) has achieved state-of-the-...

0 Shuhe Wang, et al. ∙

research

∙ 11/15/2021

Triggerless Backdoor Attack for NLP Tasks with Clean Labels

Backdoor attacks pose a new threat to NLP models. A standard strategy to...

0 Leilei Gan, et al. ∙

research

∙ 10/17/2021

GNN-LM: Language Modeling based on Global Contexts via GNN

Inspired by the notion that “to copy is easier than to memorize“, in thi...

0 Yuxian Meng, et al. ∙

research

∙ 10/06/2021

BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models

Pre-trained Natural Language Processing (NLP) models can be easily adapt...

0 Kangjie Chen, et al. ∙

research

∙ 09/27/2021

OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contexts

In order to better simulate the real human conversation process, models ...

0 Shuhe Wang, et al. ∙

research

∙ 09/14/2021

An MRC Framework for Semantic Role Labeling

Semantic Role Labeling (SRL) aims at recognizing the predicate-argument ...

0 Nan Wang, et al. ∙

research

∙ 09/07/2021

Paraphrase Generation as Unsupervised Machine Translation

In this paper, we propose a new paradigm for paraphrase generation by tr...

0 Chun Fan, et al. ∙

research

∙ 09/01/2021

ConRPG: Paraphrase Generation using Contexts as Regularizer

A long-standing issue with paraphrase generation is how to obtain reliab...

0 Yuxian Meng, et al. ∙

research

∙ 08/29/2021

kFolden: k-Fold Ensemble for Out-Of-Distribution Detection

Out-of-Distribution (OOD) detection is an important problem in natural l...

0 Xiaoya Li, et al. ∙

research

∙ 08/28/2021

Layer-wise Model Pruning based on Mutual Information

The proposed pruning strategy offers merits over weight-based pruning te...

0 Chun Fan, et al. ∙

research

∙ 06/30/2021

ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information

Recent pretraining models in Chinese neglect two important aspects speci...

0 Zijun Sun, et al. ∙

research

∙ 06/03/2021

Defending against Backdoor Attacks in Natural Language Generation

The frustratingly fragile nature of neural network models make current n...

0 Chun Fan, et al. ∙

research

∙ 05/30/2021

Fast Nearest Neighbor Machine Translation

Though nearest neighbor Machine Translation (kNN-MT) <cit.> has proved t...

0 Yuxian Meng, et al. ∙

research

∙ 05/30/2021

Parameter Estimation for the SEIR Model Using Recurrent Nets

The standard way to estimate the parameters Θ_SEIR (e.g., the transmissi...

0 Chun Fan, et al. ∙

research

∙ 05/17/2021

Dependency Parsing as MRC-based Span-Span Prediction

Higher-order methods for dependency parsing can partially but not fully ...

0 Leilei Gan, et al. ∙

research

∙ 05/17/2021

Sentence Similarity Based on Contexts

Existing methods to measure sentence similarity are faced with two chall...

0 Xiaofei Sun, et al. ∙

research

∙ 05/12/2021

BertGCN: Transductive Text Classification by Combining GCN and BERT

In this work, we propose BertGCN, a model that combines large scale pret...

0 Yuxiao Lin, et al. ∙

research

∙ 12/03/2020

Self-Explaining Structures Improve NLP Models

Existing approaches to explaining deep learning models in NLP usually su...

0 Zijun Sun, et al. ∙

research

∙ 11/17/2020

Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining

The goal of semi-supervised learning is to utilize the unlabeled, in-dom...

0 Zijun Sun, et al. ∙

research

∙ 10/14/2020

Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries

Long-text generation remains a challenge. The difficulty of generating c...

0 Xiaofei Sun, et al. ∙

research

∙ 09/21/2020

Improving Robustness and Generality of NLP Models Using Disentangled Representations

Supervised neural networks, which first map an input x to a single repre...

0 Jiawei Wu, et al. ∙

research

∙ 03/22/2020

SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection

While the self-attention mechanism has been widely used in a wide variet...

0 Xiaoya Li, et al. ∙

research

∙ 02/11/2020

Non-Autoregressive Neural Dialogue Generation

Maximum Mutual information (MMI), which models the bidirectional depende...

0 Qinghong Han, et al. ∙

research

∙ 02/08/2020

LAVA NAT: A Non-Autoregressive Translation Model with Look-Around Decoding and Vocabulary Attention

Non-autoregressive translation (NAT) models generate multiple tokens in ...

0 Xiaoya Li, et al. ∙

research

∙ 11/07/2019

Dice Loss for Data-imbalanced NLP Tasks

Many NLP tasks such as tagging and machine reading comprehension are fac...

0 Xiaoya Li, et al. ∙

research

∙ 10/25/2019

A Unified MRC Framework for Named Entity Recognition

The task of named entity recognition (NER) is normally divided into nest...

0 Xiaoya Li, et al. ∙

research

∙ 09/26/2019

Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs

In this paper, we investigate the problem of training neural machine tra...

0 Yuxian Meng, et al. ∙

research

∙ 08/24/2019

Query-Based Named Entity Recognition

In this paper, we propose a new strategy for the task of named entity re...

0 Yuxian Meng, et al. ∙

research

∙ 05/28/2019

DSReg: Using Distant Supervision as a Regularizer

In this paper, we aim at tackling a general issue in NLP tasks where som...

0 Yuxian Meng, et al. ∙

research

∙ 05/14/2019

Is Word Segmentation Necessary for Deep Learning of Chinese Representations?

Segmenting a chunk of text into words is usually the first step of proce...

0 Yuxian Meng, et al. ∙

research

∙ 01/29/2019

Glyce: Glyph-vectors for Chinese Character Representations

It is intuitive that NLP tasks for logographic languages like Chinese sh...

0 Wei Wu, et al. ∙

Yuxian Meng

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