research
∙
06/08/2023
T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text Classification
Cross-lingual text classification leverages text classifiers trained in ...
share
research
∙
03/06/2022
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization
Multi-document summarization (MDS) has made significant progress in rece...
research
∙
06/08/2021
RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation
To date, most abstractive summarisation models have relied on variants o...
research
∙
06/04/2021
BERTTune: Fine-Tuning Neural Machine Translation with BERTScore
Neural machine translation models are often biased toward the limited tr...
research
∙
10/08/2020
Leveraging Discourse Rewards for Document-Level Neural Machine Translation
Document-level machine translation focuses on the translation of entire ...
research
∙
07/08/2020
Learning Neural Textual Representations for Citation Recommendation
With the rapid growth of the scientific literature, manually selecting a...
research
∙
09/30/2019
Regressing Word and Sentence Embeddings for Regularization of Neural Machine Translation
In recent years, neural machine translation (NMT) has become the dominan...
research
∙
04/04/2019
ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems
Regularization of neural machine translation is still a significant prob...
research
∙
07/01/2018
A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems
Automatic post-editing (APE) systems aim to correct the systematic error...
research
∙
06/29/2017