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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 ...
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03/31/2022
kNN-NER: Named Entity Recognition with Nearest Neighbor Search
Inspired by recent advances in retrieval augmented methods in NLP <cit.>...
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12/15/2021
Faster Nearest Neighbor Machine Translation
kNN based neural machine translation (kNN-MT) has achieved state-of-the-...
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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...
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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...
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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...
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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 ...
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09/14/2021
An MRC Framework for Semantic Role Labeling
Semantic Role Labeling (SRL) aims at recognizing the predicate-argument ...
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09/07/2021
Paraphrase Generation as Unsupervised Machine Translation
In this paper, we propose a new paradigm for paraphrase generation by tr...
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09/01/2021
ConRPG: Paraphrase Generation using Contexts as Regularizer
A long-standing issue with paraphrase generation is how to obtain reliab...
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08/29/2021
kFolden: k-Fold Ensemble for Out-Of-Distribution Detection
Out-of-Distribution (OOD) detection is an important problem in natural l...
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08/28/2021
Layer-wise Model Pruning based on Mutual Information
The proposed pruning strategy offers merits over weight-based pruning te...
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06/30/2021
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
Recent pretraining models in Chinese neglect two important aspects speci...
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06/03/2021
Defending against Backdoor Attacks in Natural Language Generation
The frustratingly fragile nature of neural network models make current n...
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05/30/2021
Fast Nearest Neighbor Machine Translation
Though nearest neighbor Machine Translation (kNN-MT) <cit.> has proved t...
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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...
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05/17/2021
Dependency Parsing as MRC-based Span-Span Prediction
Higher-order methods for dependency parsing can partially but not fully ...
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05/17/2021
Sentence Similarity Based on Contexts
Existing methods to measure sentence similarity are faced with two chall...
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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...
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12/03/2020
Self-Explaining Structures Improve NLP Models
Existing approaches to explaining deep learning models in NLP usually su...
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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...
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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...
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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...
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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...
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02/11/2020
Non-Autoregressive Neural Dialogue Generation
Maximum Mutual information (MMI), which models the bidirectional depende...
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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 ...
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11/07/2019
Dice Loss for Data-imbalanced NLP Tasks
Many NLP tasks such as tagging and machine reading comprehension are fac...
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10/25/2019
A Unified MRC Framework for Named Entity Recognition
The task of named entity recognition (NER) is normally divided into nest...
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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...
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08/24/2019
Query-Based Named Entity Recognition
In this paper, we propose a new strategy for the task of named entity re...
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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...
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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...
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01/29/2019
