Alert button

"Text": models, code, and papers
Alert button

Linearizing Transformer with Key-Value Memory Bank

Mar 26, 2022
Yizhe Zhang, Deng Cai

Figure 1 for Linearizing Transformer with Key-Value Memory Bank
Figure 2 for Linearizing Transformer with Key-Value Memory Bank
Figure 3 for Linearizing Transformer with Key-Value Memory Bank
Figure 4 for Linearizing Transformer with Key-Value Memory Bank
Viaarxiv icon

Sentiment Analysis of Code-Mixed Social Media Text (Hinglish)

Feb 24, 2021
Gaurav Singh

Figure 1 for Sentiment Analysis of Code-Mixed Social Media Text (Hinglish)
Figure 2 for Sentiment Analysis of Code-Mixed Social Media Text (Hinglish)
Figure 3 for Sentiment Analysis of Code-Mixed Social Media Text (Hinglish)
Figure 4 for Sentiment Analysis of Code-Mixed Social Media Text (Hinglish)
Viaarxiv icon

Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft's Submission to SwissText 2021

Jul 01, 2021
Yuriy Arabskyy, Aashish Agarwal, Subhadeep Dey, Oscar Koller

Figure 1 for Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft's Submission to SwissText 2021
Figure 2 for Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft's Submission to SwissText 2021
Viaarxiv icon

Evaluating Extrapolation Performance of Dense Retrieval

Apr 25, 2022
Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma

Figure 1 for Evaluating Extrapolation Performance of Dense Retrieval
Figure 2 for Evaluating Extrapolation Performance of Dense Retrieval
Figure 3 for Evaluating Extrapolation Performance of Dense Retrieval
Figure 4 for Evaluating Extrapolation Performance of Dense Retrieval
Viaarxiv icon

A Roadmap for Big Model

Apr 02, 2022
Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, Yankai Lin, Xu Han, Zhenghao Liu, Ning Ding, Yongming Rao, Yizhao Gao, Liang Zhang, Ming Ding, Cong Fang, Yisen Wang, Mingsheng Long, Jing Zhang, Yinpeng Dong, Tianyu Pang, Peng Cui, Lingxiao Huang, Zheng Liang, Huawei Shen, Hui Zhang, Quanshi Zhang, Qingxiu Dong, Zhixing Tan, Mingxuan Wang, Shuo Wang, Long Zhou, Haoran Li, Junwei Bao, Yingwei Pan, Weinan Zhang, Zhou Yu, Rui Yan, Chence Shi, Minghao Xu, Zuobai Zhang, Guoqiang Wang, Xiang Pan, Mengjie Li, Xiaoyu Chu, Zijun Yao, Fangwei Zhu, Shulin Cao, Weicheng Xue, Zixuan Ma, Zhengyan Zhang, Shengding Hu, Yujia Qin, Chaojun Xiao, Zheni Zeng, Ganqu Cui, Weize Chen, Weilin Zhao, Yuan Yao, Peng Li, Wenzhao Zheng, Wenliang Zhao, Ziyi Wang, Borui Zhang, Nanyi Fei, Anwen Hu, Zenan Ling, Haoyang Li, Boxi Cao, Xianpei Han, Weidong Zhan, Baobao Chang, Hao Sun, Jiawen Deng, Chujie Zheng, Juanzi Li, Lei Hou, Xigang Cao, Jidong Zhai, Zhiyuan Liu, Maosong Sun, Jiwen Lu, Zhiwu Lu, Qin Jin, Ruihua Song, Ji-Rong Wen, Zhouchen Lin, Liwei Wang, Hang Su, Jun Zhu, Zhifang Sui, Jiajun Zhang, Yang Liu, Xiaodong He, Minlie Huang, Jian Tang, Jie Tang

Figure 1 for A Roadmap for Big Model
Figure 2 for A Roadmap for Big Model
Figure 3 for A Roadmap for Big Model
Figure 4 for A Roadmap for Big Model
Viaarxiv icon

Canary Extraction in Natural Language Understanding Models

Mar 25, 2022
Rahil Parikh, Christophe Dupuy, Rahul Gupta

Figure 1 for Canary Extraction in Natural Language Understanding Models
Figure 2 for Canary Extraction in Natural Language Understanding Models
Figure 3 for Canary Extraction in Natural Language Understanding Models
Figure 4 for Canary Extraction in Natural Language Understanding Models
Viaarxiv icon

Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains

Oct 17, 2020
Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen

Figure 1 for Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
Figure 2 for Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
Figure 3 for Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
Figure 4 for Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
Viaarxiv icon

On The Robustness of Offensive Language Classifiers

Mar 21, 2022
Jonathan Rusert, Zubair Shafiq, Padmini Srinivasan

Figure 1 for On The Robustness of Offensive Language Classifiers
Figure 2 for On The Robustness of Offensive Language Classifiers
Figure 3 for On The Robustness of Offensive Language Classifiers
Figure 4 for On The Robustness of Offensive Language Classifiers
Viaarxiv icon

Efficient Classification of Long Documents Using Transformers

Mar 21, 2022
Hyunji Hayley Park, Yogarshi Vyas, Kashif Shah

Figure 1 for Efficient Classification of Long Documents Using Transformers
Figure 2 for Efficient Classification of Long Documents Using Transformers
Figure 3 for Efficient Classification of Long Documents Using Transformers
Figure 4 for Efficient Classification of Long Documents Using Transformers
Viaarxiv icon

Adversarial Self-Supervised Data-Free Distillation for Text Classification

Oct 10, 2020
Xinyin Ma, Yongliang Shen, Gongfan Fang, Chen Chen, Chenghao Jia, Weiming Lu

Figure 1 for Adversarial Self-Supervised Data-Free Distillation for Text Classification
Figure 2 for Adversarial Self-Supervised Data-Free Distillation for Text Classification
Figure 3 for Adversarial Self-Supervised Data-Free Distillation for Text Classification
Figure 4 for Adversarial Self-Supervised Data-Free Distillation for Text Classification
Viaarxiv icon