output
20162026
most citedSwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation

65 citations

Showing 2021Show all

10 papers · 1 filter

cs.CL2021★ 3 cited

Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction

Lu Xu, Yew Ken Chia, Lidong Bing

Aspect Sentiment Triplet Extraction (ASTE) is the most recent subtask of ABSA which outputs triplets of an aspect target, its associated sentiment, and the corresponding opinion te…

cs.CV2021★ 8 cited

WaveFill: A Wavelet-based Generation Network for Image Inpainting

Yingchen Yu, Fangneng Zhan, Shijian Lu +4

Image inpainting aims to complete the missing or corrupted regions of images with realistic contents. The prevalent approaches adopt a hybrid objective of reconstruction and percep…

cs.CL2021★ 2 cited

Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction

Jinpeng Zhang, Baijun Ji, Nini Xiao +4

Bilingual Lexicon Induction (BLI) aims to map words in one language to their translations in another, and is typically through learning linear projections to align monolingual word…

cs.CL2021★ 14 cited

On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation

Ruidan He, Linlin Liu, Hai Ye +6

Adapter-based tuning has recently arisen as an alternative to fine-tuning. It works by adding light-weight adapter modules to a pretrained language model (PrLM) and only updating t…

cs.LG2021

Learning to Rehearse in Long Sequence Memorization

Zhu Zhang, Chang Zhou, Jianxin Ma +4

Existing reasoning tasks often have an important assumption that the input contents can be always accessed while reasoning, requiring unlimited storage resources and suffering from…

cs.CL2021★ 3 cited

G-Transformer for Document-level Machine Translation

Guangsheng Bao, Yue Zhang, Zhiyang Teng +2

Document-level MT models are still far from satisfactory. Existing work extend translation unit from single sentence to multiple sentences. However, study shows that when we furthe…