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07/31/2023
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation
Sub-word segmentation is an essential pre-processing step for Neural Mac...
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05/17/2023
Variable-length Neural Interlingua Representations for Zero-shot Neural Machine Translation
The language-independency of encoded representations within multilingual...
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05/16/2023
Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation
This paper studies the impact of layer normalization (LayerNorm) on zero...
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05/03/2023
GPT-RE: In-context Learning for Relation Extraction using Large Language Models
In spite of the potential for ground-breaking achievements offered by la...
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05/18/2022
Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision
Contrastive pre-training on distant supervision has shown remarkable eff...
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04/26/2022
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?
Word alignment has proven to benefit many-to-many neural machine transla...
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07/28/2020
A System for Worldwide COVID-19 Information Aggregation
The global pandemic of COVID-19 has made the public pay close attention ...
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05/07/2020
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation
Neural machine translation (NMT) needs large parallel corpora for state-...
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01/23/2020
Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation
Sequence-to-sequence (S2S) pre-training using large monolingual data is ...
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12/26/2019
Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation
Lectures translation is a case of spoken language translation and there ...
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10/19/2018