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04/27/2022
Document-Level Relation Extraction with Sentences Importance Estimation and Focusing
Document-level relation extraction (DocRE) aims to determine the relatio...
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06/03/2021
Discriminative Reasoning for Document-level Relation Extraction
Document-level relation extraction (DocRE) models generally use graph ne...
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02/11/2021
Text Compression-aided Transformer Encoding
Text encoding is one of the most important steps in Natural Language Pro...
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12/21/2020
Document-Level Relation Extraction with Reconstruction
In document-level relation extraction (DocRE), graph structure is genera...
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10/11/2020
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task
In this paper, we introduced our joint team SJTU-NICT 's participation i...
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04/21/2020
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation
Unsupervised neural machine translation (UNMT) has recently achieved rem...
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04/09/2020
Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios
Unsupervised neural machine translation (UNMT) that relies solely on mas...
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04/08/2020
Explicit Reordering for Neural Machine Translation
In Transformer-based neural machine translation (NMT), the positional en...
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02/28/2020
Modeling Future Cost for Neural Machine Translation
Existing neural machine translation (NMT) systems utilize sequence-to-se...
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02/28/2020
Robust Unsupervised Neural Machine Translation with Adversarial Training
Unsupervised neural machine translation (UNMT) has recently attracted gr...
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12/27/2019
Explicit Sentence Compression for Neural Machine Translation
State-of-the-art Transformer-based neural machine translation (NMT) syst...
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11/07/2019
Probing Contextualized Sentence Representations with Visual Awareness
We present a universal framework to model contextualized sentence repres...
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10/31/2019
Document-level Neural Machine Translation with Inter-Sentence Attention
Standard neural machine translation (NMT) is on the assumption of docume...
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08/26/2019
An Empirical Study of Domain Adaptation for Unsupervised Neural Machine Translation
Domain adaptation methods have been well-studied in supervised neural ma...
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06/04/2019
Lattice-Based Transformer Encoder for Neural Machine Translation
Neural machine translation (NMT) takes deterministic sequences for sourc...
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11/12/2017
