Papers
441 papers found
LeakyScatter: A Frequency-Agile Directional Backscatter Network Above 100 GHz
Atsutse Kludze, Yasaman Ghasempour
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Ziheng Jiang, Haibin Lin, Yinmin Zhong et al.
Achieving 100Gbps Intrusion Prevention on a Single Server
Zhipeng Zhao, Hugo Sadok, Nirav Atre et al.
SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media
Amirreza Shirani, Franck Dernoncourt, Nedim Lipka et al.
IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize?
Jaeyoul Shin, Taeuk Kim, Sang-goo Lee
ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model
Zhengjie Huang, Shikun Feng, Weiyue Su et al.
EL-BERT at SemEval-2020 Task 10: A Multi-Embedding Ensemble Based Approach for Emphasis Selection in Visual Media
Chandresh Kanani, Sriparna Saha, Pushpak Bhattacharyya
FPAI at SemEval-2020 Task 10: A Query Enhanced Model with RoBERTa for Emphasis Selection
Chenyang Guo, Xiaolong Hou, Junsong Ren et al.
Hitachi at SemEval-2020 Task 10: Emphasis Distribution Fusion on Fine-Tuned Language Models
Gaku Morio, Terufumi Morishita, Hiroaki Ozaki et al.
IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection
Vipul Singhal, Sahil Dhull, Rishabh Agarwal et al.
MIDAS at SemEval-2020 Task 10: Emphasis Selection Using Label Distribution Learning and Contextual Embeddings
Sarthak Anand, Pradyumna Gupta, Hemant Yadav et al.
Randomseed19 at SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media
Aleksandr Shatilov, Denis Gordeev, Alexey Rey
TextLearner at SemEval-2020 Task 10: A Contextualized Ranking System in Solving Emphasis Selection in Text
Zhishen Yang, Lars Wolfsteller, Naoaki Okazaki
TëXtmarkers at SemEval-2020 Task 10: Emphasis Selection with Agreement Dependent Crowd Layers
Kevin Glocker, Stefanos Andreas Markianos Wright
UIC-NLP at SemEval-2020 Task 10: Exploring an Alternate Perspective on Evaluation
Philip Hossu, Natalie Parde
YNU-HPCC at SemEval-2020 Task 10: Using a Multi-granularity Ordinal Classification of the BiLSTM Model for Emphasis Selection
Dawei Liao, Jin Wang, Xuejie Zhang
SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing
Egoitz Laparra, Xin Su, Yiyun Zhao et al.
BLCUFIGHT at SemEval-2021 Task 10: Novel Unsupervised Frameworks For Source-Free Domain Adaptation
Weikang Wang, Yi Wu, Yixiang Liu et al.
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes
Harshit Kumar, Jinang Shah, Nidhi Hegde et al.
PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging
Kemal Kurniawan, Lea Frermann, Philip Schulz et al.
Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation
Sangwon Yoon, Yanghoon Kim, Kyomin Jung
MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation
Jinquan Sun, Qi Zhang, Yu Wang et al.
YNU-HPCC at SemEval-2021 Task 10: Using a Transformer-based Source-Free Domain Adaptation Model for Semantic Processing
Zhewen Yu, Jin Wang, Xuejie Zhang