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10/13/2020
CAPT: Contrastive Pre-Training for LearningDenoised Sequence Representations
Pre-trained self-supervised models such as BERT have achieved striking s...
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09/27/2020
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions
Conventional Knowledge Graph Completion (KGC) assumes that all test enti...
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12/27/2019
Visual Agreement Regularized Training for Multi-Modal Machine Translation
Multi-modal machine translation aims at translating the source sentence ...
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10/24/2019
Pun-GAN: Generative Adversarial Network for Pun Generation
In this paper, we focus on the task of generating a pun sentence given a...
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08/08/2019
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation
Table-to-text generation aims to translate the structured data into the ...
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07/24/2019
Automatic Generation of Personalized Comment Based on User Profile
Comments on social media are very diverse, in terms of content, style an...
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05/24/2019
Memorized Sparse Backpropagation
Neural network learning is typically slow since backpropagation needs to...
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05/24/2019
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer
Unsupervised text style transfer aims to transfer the underlying style o...
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11/01/2018
Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy
Cross-lingual word embeddings aim to capture common linguistic regularit...
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09/10/2018
A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification
Multi-label text classification (MLTC) aims to assign multiple labels to...
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08/26/2018
Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification
We propose a novel model for multi-label text classification, which is b...
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08/22/2018
Learning Sentiment Memories for Sentiment Modification without Parallel Data
The task of sentiment modification requires reversing the sentiment of t...
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08/22/2018
Identifying High-Quality Chinese News Comments Based on Multi-Target Text Matching Model
With the development of information technology, there is an explosive gr...
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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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05/10/2018
