Papers
1,072 papers found
SSN-NLP at SemEval-2020 Task 4: Text Classification and Generation on Common Sense Context Using Neural Networks
Rishivardhan K., Kayalvizhi S, Thenmozhi D. et al.
NLP_UIOWA at SemEval-2020 Task 8: You’re Not the Only One Cursed with Knowledge - Multi Branch Model Memotion Analysis
Ingroj Shrestha, Jonathan Rusert
UIC-NLP at SemEval-2020 Task 10: Exploring an Alternate Perspective on Evaluation
Philip Hossu, Natalie Parde
Lee at SemEval-2020 Task 12: A BERT Model Based on the Maximum Self-ensemble Strategy for Identifying Offensive Language
Junyi Li, Xiaobing Zhou, Zichen Zhang
UPB at SemEval-2020 Task 12: Multilingual Offensive Language Detection on Social Media by Fine-tuning a Variety of BERT-based Models
Mircea-Adrian Tanase, Dumitru-Clementin Cercel, Costin Chiru
WOLI at SemEval-2020 Task 12: Arabic Offensive Language Identification on Different Twitter Datasets
Yasser Otiefy, Ahmed Abdelmalek, Islam El Hosary
FinMind-Y-Me at the Regulations Challenge Task: Financial Mind Your Meaning based on THaLLE
Pantid Chantangphol, Pornchanan Balee, Kantapong Sucharitpongpan et al.
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation
Steffen Eger, Johannes Daxenberger, Iryna Gurevych
Progress-Aware Online Action Segmentation for Egocentric Procedural Task Videos
Yuhan Shen, Ehsan Elhamifar
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations
Ziyang Zhang, Yang Yu, Yucheng Chen et al.
UFRGS Participation on the WMT Biomedical Translation Shared Task
Felipe Soares, Karin Becker
Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks
Parisa Kordjamshidi, James Pustejovsky, Marie-Francine Moens
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation
Steffen Eger, Johannes Daxenberger, Iryna Gurevych
BANANA at WNUT-2020 Task 2: Identifying COVID-19 Information on Twitter by Combining Deep Learning and Transfer Learning Models
Tin Huynh, Luan Thanh Luan, Son T. Luu
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks
Haoqi Zheng, Qihuang Zhong, Liang Ding et al.
SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-Time Performance on Mobile Device
Weiran Gou, Ziyao Yi, Yan Xiang et al.
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu, Nicklas Hansen, Zirui Wang et al.
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
Dominique Beaini, Shenyang Huang, Joao Alex Cunha et al.
FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract)
Siting Liu, Yuan Pu, Peiyu Liao et al.
No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks
Yongxin Xu, Hengquan Guo, Ziyu Shao et al.
hub at SemEval-2021 Task 5: Toxic Span Detection Based on Word-Level Classification
Bo Huang, Yang Bai, Xiaobing Zhou
A Laypeople Study on Terminology Identification across Domains and Task Definitions
Anna Hätty, Sabine Schulte im Walde
A Report on the Complex Word Identification Shared Task 2018
Seid Muhie Yimam, Chris Biemann, Shervin Malmasi et al.