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06/30/2023
Preference Ranking Optimization for Human Alignment
Large language models (LLMs) often contain misleading content, emphasizi...
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03/02/2023
Semiparametric Language Models Are Scalable Continual Learners
Semiparametric language models (LMs) have shown promise in continuously ...
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10/07/2022
A Unified Framework for Multi-intent Spoken Language Understanding with prompting
Multi-intent Spoken Language Understanding has great potential for wides...
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04/28/2022
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification
Hierarchical text classification (HTC) is a challenging subtask of multi...
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03/17/2022
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss
Data-driven methods have achieved notable performance on intent detectio...
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03/08/2022
Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification
Hierarchical text classification is a challenging subtask of multi-label...
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02/24/2022
Using calibrator to improve robustness in Machine Reading Comprehension
Machine Reading Comprehension(MRC) has achieved a remarkable result sinc...
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02/23/2022
Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt
Prompt-based tuning has been proven effective for pretrained language mo...
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01/26/2022
A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model
Synthetic data construction of Grammatical Error Correction (GEC) for no...
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08/24/2021
Density-Based Dynamic Curriculum Learning for Intent Detection
Pre-trained language models have achieved noticeable performance on the ...
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07/25/2021
Towards Controlled and Diverse Generation of Article Comments
Much research in recent years has focused on automatic article commentin...
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07/25/2021
Learn to Focus: Hierarchical Dynamic Copy Network for Dialogue State Tracking
Recently, researchers have explored using the encoder-decoder framework ...
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07/25/2021
A Joint and Domain-Adaptive Approach to Spoken Language Understanding
Spoken Language Understanding (SLU) is composed of two subtasks: intent ...
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06/21/2021
Explicit Interaction Network for Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) aims to recognize targets, th...
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06/09/2021
Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding
In this paper, we propose Shallow Aggressive Decoding (SAD) to improve t...
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02/17/2021
First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) aims to extract triplets from...
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10/06/2019
Text Level Graph Neural Network for Text Classification
Recently, researches have explored the graph neural network (GNN) techni...
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08/27/2018
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions
The encode-decoder framework has shown recent success in image captionin...
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08/16/2018
Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions
Huge numbers of new words emerge every day, leading to a great need for ...
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06/13/2018
SGM: Sequence Generation Model for Multi-label Classification
Multi-label classification is an important yet challenging task in natur...
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05/14/2018
Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach
The goal of sentiment-to-sentiment "translation" is to change the underl...
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05/13/2018
Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
Most of the current abstractive text summarization models are based on t...
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03/03/2018
Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification
Identifying implicit discourse relations between text spans is a challen...
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11/25/2017
Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing
Recent systems on structured prediction focus on increasing the level of...
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11/17/2017
Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method
We propose a simple yet effective technique to simplify the training and...
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09/04/2017
Interactive Attention Networks for Aspect-Level Sentiment Classification
Aspect-level sentiment classification aims at identifying the sentiment ...
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06/19/2017
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
We propose a simple yet effective technique for neural network learning....
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06/08/2017
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization
Current Chinese social media text summarization models are based on an e...
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07/16/2015