Xiaofeng He.EMNLP 2020. [pdf]Speech RecognitionMeta-Transfer Learning for Code-Switched Speech Recogn...
1. 在迁移学习场景中的应用 在迁移学习中，Pretrain-Finetune是一种常用的方式。这种方式的问题在于，...
Tao Gui, Yicheng Zou and Qi Zhang. EMNLP 2019 [pdf] Text Classification Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks. Chen Zhang, Qiuchi Li and Dawei Song. EMNLP 2019 [pdf] Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification...
现在包括在ACL,EMNLP,NAACL-HLT,ICLR,WWW,ICML,KDD等会议发表的论文。 更新日志: New: Nov. 09, 2021: Add EMNLP-2021 Jul. 28, 2021: Add ACL-2021 May. 24, 2021: Add NAACL-2021 Dec. 14, 2020: Add COLING-2020 Dec. 01, 2020: Add EMNLP-2020 Jun. 24, 2020: Add ACL-2020, GNN tools,...
https://doi.org/10.18653/v1/2021.emnlp-main.526 Sauer, A., Asaadi, S., Küch, F.: Knowledge distillation meets few-shot learning: An approach for few-shot intent classification within and across domains. In: Liu, B., Papangelis, A., Ultes, S., Rastogi, A., Chen, Y., Spithou...
<img src=https://img.shields.io/badge/the_2023_Conference_on_Empirical_Methods_in_Natural Language_Processing,_{EMNLP}_2023,_Singapore,_December_6--10,_2023-2023-blue alt="img" style="zoom:100%; vertical-align: middle" /> Universal Self-Adaptive Prompting, by Xingchen Wan, Ruoxi Sun, ...
“GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation." ArXiv (2023). [paper] [code] [2023.11] TriDental: Tomáš Kunzo, Viktor Kocur, Lukáš Gajdošech, Martin Madaras. "Processing and Segmentation of Human Teeth from 2D Images using Weakly Supervised...
Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach.Zhenjie Zhao, Xiaojuan Ma.EMNLP 2019. [pdf] [code](metric-based) Machine Translation Meta-Learning for Low-Resource Neural Machine Translation.Jiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li, Kyunghyun Cho.EMNLP 20...
Recommender systems play an important role in providing users required information in a timely and effective manner. However, the cold-start problem of limited historical records of a new user in target domain makes it difficult to model user’s comprehensive preferences. This severely affects the ...
Learning what to share between tasks has been a topic of high importance recently, as strategic sharing of knowledge has been shown to improve the performance of downstream tasks. The same applies to sharing between languages, and is especially important when considering the fact that most languages...